diff --git a/R/epi_df.R b/R/epi_df.R
index 65acfb94..9ed677cf 100644
--- a/R/epi_df.R
+++ b/R/epi_df.R
@@ -91,25 +91,7 @@ NULL
 #' correct metadata for an `epi_df` object (ie. `geo_type`, `time_type`, and `as_of`).
 #' Refer to the below info. about the arguments for more details.
 #'
-#' @param x A data.frame, [tibble::tibble], or [tsibble::tsibble] to be converted
-#' @param geo_type Type for the geo values. If missing, then the function will
-#'   attempt to infer it from the geo values present; if this fails, then it
-#'   will be set to "custom".
-#' @param time_type Type for the time values. If missing, then the function will
-#'   attempt to infer it from the time values present; if this fails, then it
-#'   will be set to "custom".
-#' @param as_of Time value representing the time at which the given data were
-#'   available. For example, if `as_of` is January 31, 2022, then the `epi_df`
-#'   object that is created would represent the most up-to-date version of the
-#'   data available as of January 31, 2022. If the `as_of` argument is missing,
-#'   then the current day-time will be used.
-#' @param additional_metadata List of additional metadata to attach to the
-#'   `epi_df` object. The metadata will have `geo_type`, `time_type`, and
-#'   `as_of` fields; named entries from the passed list will be included as
-#'   well. If your tibble has additional keys, be sure to specify them as a
-#'   character vector in the `other_keys` component of `additional_metadata`.
-#' @param ... Additional arguments passed to methods.
-#' @return An `epi_df` object.
+#' @template epi_df-params
 #'
 #' @export
 new_epi_df <- function(x = tibble::tibble(), geo_type, time_type, as_of,
@@ -182,25 +164,7 @@ new_epi_df <- function(x = tibble::tibble(), geo_type, time_type, as_of,
 #' guide](https://cmu-delphi.github.io/epiprocess/articles/epiprocess.html) for
 #' examples.
 #'
-#' @param x A data.frame, [tibble::tibble], or [tsibble::tsibble] to be converted
-#' @param geo_type Type for the geo values. If missing, then the function will
-#'   attempt to infer it from the geo values present; if this fails, then it
-#'   will be set to "custom".
-#' @param time_type Type for the time values. If missing, then the function will
-#'   attempt to infer it from the time values present; if this fails, then it
-#'   will be set to "custom".
-#' @param as_of Time value representing the time at which the given data were
-#'   available. For example, if `as_of` is January 31, 2022, then the `epi_df`
-#'   object that is created would represent the most up-to-date version of the
-#'   data available as of January 31, 2022. If the `as_of` argument is missing,
-#'   then the current day-time will be used.
-#' @param additional_metadata List of additional metadata to attach to the
-#'   `epi_df` object. The metadata will have `geo_type`, `time_type`, and
-#'   `as_of` fields; named entries from the passed list will be included as
-#'   well. If your tibble has additional keys, be sure to specify them as a
-#'   character vector in the `other_keys` component of `additional_metadata`.
-#' @param ... Additional arguments passed to methods.
-#' @return An `epi_df` object.
+#' @template epi_df-params
 #'
 #' @export
 #' @examples
diff --git a/R/methods-epi_df.R b/R/methods-epi_df.R
index 22ea2928..632dc3a3 100644
--- a/R/methods-epi_df.R
+++ b/R/methods-epi_df.R
@@ -3,8 +3,8 @@
 #' Converts an `epi_df` object into a tibble, dropping metadata and any
 #' grouping.
 #'
-#' @param x an `epi_df`
-#' @param ... arguments to forward to `NextMethod()`
+#' @template x
+#' @param ... additional arguments to forward to `NextMethod()`
 #'
 #' @importFrom tibble as_tibble
 #' @export
@@ -22,7 +22,7 @@ as_tibble.epi_df <- function(x, ...) {
 #' others in the `other_keys` field of the metadata, or else explicitly set.
 #'
 #' @method as_tsibble epi_df
-#' @param x The `epi_df` object.
+#' @template x
 #' @param key Optional. Any additional keys (other than `geo_value`) to add to
 #'   the `tsibble`.
 #' @param ... additional arguments passed on to `tsibble::as_tsibble()`
@@ -39,8 +39,8 @@ as_tsibble.epi_df <- function(x, key, ...) {
 #'
 #' Print and summary functions for an `epi_df` object.
 #'
-#' @param x The `epi_df` object.
-#' @param ... Additional arguments passed to methods.
+#' @template x
+#' @param ... additional arguments to forward to `NextMethod()`
 #'
 #' @method print epi_df
 #' @export
@@ -61,7 +61,7 @@ print.epi_df <- function(x, ...) {
 #' Prints a variety of summary statistics about the `epi_df` object, such as
 #' the time range included and geographic coverage.
 #'
-#' @param object The `epi_df` object.
+#' @param object an `epi_df`
 #' @param ... Additional arguments, for compatibility with `summary()`.
 #'   Currently unused.
 #'
@@ -204,6 +204,7 @@ dplyr_row_slice.epi_df <- function(data, i, ...) {
 }
 
 #' @method group_by epi_df
+#' @param .data an `epi_df`
 #' @rdname print.epi_df
 #' @export
 group_by.epi_df <- function(.data, ...) {
@@ -223,7 +224,7 @@ ungroup.epi_df <- function(x, ...) {
 
 #' @method group_modify epi_df
 #' @rdname print.epi_df
-#' @param .data The `epi_df` object.
+#' @param .data an `epi_df`
 #' @param .f function or formula; see [`dplyr::group_modify`]
 #' @param .keep Boolean; see [`dplyr::group_modify`]
 #' @export
@@ -233,7 +234,7 @@ group_modify.epi_df <- function(.data, .f, ..., .keep = FALSE) {
 
 #' @method unnest epi_df
 #' @rdname print.epi_df
-#' @param data The `epi_df` object.
+#' @param data an `epi_df`
 #' @export
 unnest.epi_df <- function(data, ...) {
   dplyr::dplyr_reconstruct(NextMethod(), data)
diff --git a/R/outliers.R b/R/outliers.R
index 68a656a7..ab4f0e8e 100644
--- a/R/outliers.R
+++ b/R/outliers.R
@@ -6,10 +6,7 @@
 #' vignette](https://cmu-delphi.github.io/epiprocess/articles/outliers.html) for
 #' examples.
 #'
-#' @param x Design points corresponding to the signal values `y`. Default is
-#'   `seq_along(y)` (that is, equally-spaced points from 1 to the length of
-#'   `y`).
-#' @param y Signal values.
+#' @template x-y
 #' @param methods A tibble specifying the method(s) to use for outlier
 #'   detection, with one row per method, and the following columns:
 #'   * `method`: Either "rm" or "stl", or a custom function for outlier
@@ -25,9 +22,7 @@
 #'   summarized results are calculated. Note that if the number of `methods`
 #'   (number of rows) is odd, then "median" is equivalent to a majority vote for
 #'   purposes of determining whether a given observation is an outlier.
-#' @return An tibble with number of rows equal to `length(y)` and columns giving
-#'   the outlier detection thresholds and replacement values from each detection
-#'   method.
+#' @template detect-outlr-return
 #'
 #' @details Each outlier detection method, one per row of the passed `methods`
 #'   tibble, is a function that must take as its first two arguments `x` and
@@ -147,32 +142,14 @@ detect_outlr <- function(x = seq_along(y), y,
 #' Detects outliers based on a distance from the rolling median specified in
 #' terms of multiples of the rolling interquartile range (IQR).
 #'
-#' @param x Design points corresponding to the signal values `y`. Default is
-#'   `seq_along(y)` (that is, equally-spaced points from 1 to the length of
-#'   `y`).
-#' @param y Signal values.
+#' @template x-y
 #' @param n Number of time steps to use in the rolling window. Default is 21.
 #'   This value is centrally aligned. When `n` is an odd number, the rolling
 #'   window extends from `(n-1)/2` time steps before each design point to `(n-1)/2`
 #'   time steps after. When `n` is even, then the rolling range extends from
 #'   `n/2-1` time steps before to `n/2` time steps after.
-#' @param log_transform Should a log transform be applied before running outlier
-#'   detection? Default is `FALSE`. If `TRUE`, and zeros are present, then the
-#'   log transform will be padded by 1.
-#' @param detect_negatives Should negative values automatically count as
-#'   outliers? Default is `FALSE`.
-#' @param detection_multiplier Value determining how far the outlier detection
-#'   thresholds are from the rolling median, which are calculated as (rolling
-#'   median) +/- (detection multiplier) * (rolling IQR). Default is 2.
-#' @param min_radius Minimum distance between rolling median and threshold, on
-#'   transformed scale. Default is 0.
-#' @param replacement_multiplier Value determining how far the replacement
-#'   values are from the rolling median. The replacement is the original value
-#'   if it is within the detection thresholds, or otherwise it is rounded to the
-#'   nearest (rolling median) +/- (replacement multiplier) * (rolling IQR).
-#'   Default is 0.
-#' @return A tibble with number of rows equal to `length(y)`, and columns
-#'   `lower`, `upper`, and `replacement`.
+#' @template outlier-detection-options
+#' @template detect-outlr-return
 #'
 #' @export
 #' @examples
@@ -235,10 +212,7 @@ detect_outlr_rm <- function(x = seq_along(y), y, n = 21,
 #'
 #' Detects outliers based on a seasonal-trend decomposition using LOESS (STL).
 #'
-#' @param x Design points corresponding to the signal values `y`. Default is
-#'   `seq_along(y)` (that is, equally-spaced points from 1 to the length of
-#'   `y`).
-#' @param y Signal values.
+#' @template x-y
 #' @param n_trend Number of time steps to use in the rolling window for trend.
 #'   Default is 21.
 #' @param n_seasonal Number of time steps to use in the rolling window for
@@ -248,23 +222,8 @@ detect_outlr_rm <- function(x = seq_along(y), y, n = 21,
 #' @param seasonal_period Integer specifying period of seasonality. For example,
 #'   for daily data, a period 7 means weekly seasonality. The default is `NULL`,
 #'   meaning that no seasonal term will be included in the STL decomposition.
-#' @param log_transform Should a log transform be applied before running outlier
-#'   detection? Default is `FALSE`. If `TRUE`, and zeros are present, then the
-#'   log transform will be padded by 1.
-#' @param detect_negatives Should negative values automatically count as
-#'   outliers? Default is `FALSE`.
-#' @param detection_multiplier Value determining how far the outlier detection
-#'   thresholds are from the rolling median, which are calculated as (rolling
-#'   median) +/- (detection multiplier) * (rolling IQR). Default is 2.
-#' @param min_radius Minimum distance between rolling median and threshold, on
-#'   transformed scale. Default is 0.
-#' @param replacement_multiplier Value determining how far the replacement
-#'   values are from the rolling median. The replacement is the original value
-#'   if it is within the detection thresholds, or otherwise it is rounded to the
-#'   nearest (rolling median) +/- (replacement multiplier) * (rolling IQR).
-#'   Default is 0.
-#' @return A tibble with number of rows equal to `length(y)`, and columns
-#'   `lower`, `upper`, and `replacement`.
+#' @template outlier-detection-options
+#' @template detect-outlr-return
 #'
 #' @details The STL decomposition is computed using the `feasts` package. Once
 #'   computed, the outlier detection method is analogous to the rolling median
diff --git a/R/slide.R b/R/slide.R
index 2e07d502..7cdc8f38 100644
--- a/R/slide.R
+++ b/R/slide.R
@@ -1,12 +1,10 @@
 #' Slide a function over variables in an `epi_df` object
 #'
-#' Slides a given function over variables in an `epi_df` object. See the [slide
-#' vignette](https://cmu-delphi.github.io/epiprocess/articles/slide.html) for
-#' examples.
+#' Slides a given function over variables in an `epi_df` object. See the
+#' [slide vignette](https://cmu-delphi.github.io/epiprocess/articles/slide.html)
+#' for examples.
 #'
-#' @param x The `epi_df` object under consideration, [grouped][dplyr::group_by]
-#'   or ungrouped. If ungrouped, all data in `x` will be treated as part of a
-#'   single data group.
+#' @template basic-slide-params
 #' @param f Function, formula, or missing; together with `...` specifies the
 #'   computation to slide. To "slide" means to apply a computation within a
 #'   sliding (a.k.a. "rolling") time window for each data group. The window is
@@ -27,33 +25,6 @@
 #'   directly by name, the expression has access to `.data` and `.env` pronouns
 #'   as in `dplyr` verbs, and can also refer to `.x`, `.group_key`, and
 #'   `.ref_time_value`. See details.
-#' @param before,after How far `before` and `after` each `ref_time_value` should
-#'   the sliding window extend? At least one of these two arguments must be
-#'   provided; the other's default will be 0. Any value provided for either
-#'   argument must be a single, non-`NA`, non-negative,
-#'   [integer-compatible][vctrs::vec_cast] number of time steps. Endpoints of
-#'   the window are inclusive. Common settings:
-#'   * For trailing/right-aligned windows from `ref_time_value - time_step
-#'     (k)` to `ref_time_value`: either pass `before=k` by itself, or pass
-#'     `before=k, after=0`.
-#'   * For center-aligned windows from `ref_time_value - time_step(k)` to
-#'     `ref_time_value + time_step(k)`: pass `before=k, after=k`.
-#'   * For leading/left-aligned windows from `ref_time_value` to
-#'     `ref_time_value + time_step(k)`: either pass pass `after=k` by itself,
-#'     or pass `before=0, after=k`.
-#'   See "Details:" about the definition of a time step,(non)treatment of
-#'   missing rows within the window, and avoiding warnings about
-#'   `before`&`after` settings for a certain uncommon use case.
-#' @param ref_time_values Time values for sliding computations, meaning, each
-#'   element of this vector serves as the reference time point for one sliding
-#'   window. If missing, then this will be set to all unique time values in the
-#'   underlying data table, by default.
-#' @param time_step Optional function used to define the meaning of one time
-#'   step, which if specified, overrides the default choice based on the
-#'   `time_value` column. This function must take a non-negative integer and
-#'   return an object of class `lubridate::period`. For example, we can use
-#'   `time_step = lubridate::hours` in order to set the time step to be one hour
-#'   (this would only be meaningful if `time_value` is of class `POSIXct`).
 #' @param new_col_name String indicating the name of the new column that will
 #'   contain the derivative values. Default is "slide_value"; note that setting
 #'   `new_col_name` equal to an existing column name will overwrite this column.
@@ -63,24 +34,9 @@
 #'   [`tidyr::unnest()`]), and, if the slide computations output data frames,
 #'   the names of the resulting columns are given by prepending `new_col_name`
 #'   to the names of the list elements.
-#' @param names_sep String specifying the separator to use in `tidyr::unnest()`
-#'   when `as_list_col = FALSE`. Default is "_". Using `NULL` drops the prefix
-#'   from `new_col_name` entirely.
-#' @param all_rows If `all_rows = TRUE`, then all rows of `x` will be kept in
-#'   the output even with `ref_time_values` provided, with some type of missing
-#'   value marker for the slide computation output column(s) for `time_value`s
-#'   outside `ref_time_values`; otherwise, there will be one row for each row in
-#'   `x` that had a `time_value` in `ref_time_values`. Default is `FALSE`. The
-#'   missing value marker is the result of `vctrs::vec_cast`ing `NA` to the type
-#'   of the slide computation output. If using `as_list_col = TRUE`, note that
-#'   the missing marker is a `NULL` entry in the list column; for certain
-#'   operations, you might want to replace these `NULL` entries with a different
-#'   `NA` marker.
-#' @return An `epi_df` object given by appending a new column to `x`, named
-#'   according to the `new_col_name` argument.
 #'
 #' @details To "slide" means to apply a function or formula over a rolling
-#'   window of time steps for each data group, where the window is entered at a
+#'   window of time steps for each data group, where the window is centered at a
 #'   reference time and left and right endpoints are given by the `before` and
 #'   `after` arguments. The unit (the meaning of one time step) is implicitly
 #'   defined by the way the `time_value` column treats addition and subtraction;
@@ -386,15 +342,13 @@ epi_slide <- function(x, f, ..., before, after, ref_time_values,
 
 #' Optimized slide function for performing common rolling computations on an `epi_df` object
 #'
-#' Slides an n-timestep mean over variables in an `epi_df` object. See the [slide
-#' vignette](https://cmu-delphi.github.io/epiprocess/articles/slide.html) for
-#' examples.
+#' Slides an n-timestep [data.table::froll] or [slider::summary-slide] function
+#' over variables in an `epi_df` object. See the
+#' [slide vignette](https://cmu-delphi.github.io/epiprocess/articles/slide.html)
+#' for examples.
 #'
-#' @param x The `epi_df` object under consideration, [grouped][dplyr::group_by]
-#'   or ungrouped. If ungrouped, all data in `x` will be treated as part of a
-#'   single data group.
-#' @param col_names A single tidyselection or a tidyselection vector of the
-#'  names of one or more columns for which to calculate the rolling mean.
+#' @template basic-slide-params
+#' @template opt-slide-params
 #' @param f Function; together with `...` specifies the computation to slide.
 #'  `f` must be one of `data.table`'s rolling functions
 #'  (`frollmean`, `frollsum`, `frollapply`. See [data.table::roll]) or one
@@ -418,79 +372,8 @@ epi_slide <- function(x, f, ..., before, after, ref_time_values,
 #'  these args via `...` will cause an error. If `f` is a `slider` function,
 #'  it is automatically passed the data `x` to operate on, and number of
 #'  points `before` and `after` to use in the computation.
-#' @param before,after How far `before` and `after` each `ref_time_value` should
-#'   the sliding window extend? At least one of these two arguments must be
-#'   provided; the other's default will be 0. Any value provided for either
-#'   argument must be a single, non-`NA`, non-negative,
-#'   [integer-compatible][vctrs::vec_cast] number of time steps. Endpoints of
-#'   the window are inclusive. Common settings:
-#'   * For trailing/right-aligned windows from `ref_time_value - time_step
-#'     (k)` to `ref_time_value`: either pass `before=k` by itself, or pass
-#'     `before=k, after=0`.
-#'   * For center-aligned windows from `ref_time_value - time_step(k)` to
-#'     `ref_time_value + time_step(k)`: pass `before=k, after=k`.
-#'   * For leading/left-aligned windows from `ref_time_value` to
-#'     `ref_time_value + time_step(k)`: either pass pass `after=k` by itself,
-#'     or pass `before=0, after=k`.
-#'   See "Details:" about the definition of a time step,(non)treatment of
-#'   missing rows within the window, and avoiding warnings about
-#'   `before`&`after` settings for a certain uncommon use case.
-#' @param ref_time_values Time values for sliding computations, meaning, each
-#'   element of this vector serves as the reference time point for one sliding
-#'   window. If missing, then this will be set to all unique time values in the
-#'   underlying data table, by default.
-#' @param time_step Optional function used to define the meaning of one time
-#'   step, which if specified, overrides the default choice based on the
-#'   `time_value` column. This function must take a non-negative integer and
-#'   return an object of class [lubridate::period]. For example, we can use
-#'   `time_step = lubridate::hours` in order to set the time step to be one hour
-#'   (this would only be meaningful if `time_value` is of class `POSIXct`).
-#' @param new_col_names String indicating the name of the new column that will
-#'   contain the derivative values. Default is "slide_value"; note that setting
-#'   `new_col_names` equal to an existing column name will overwrite this column.
-#' @param as_list_col Not supported. Included to match `epi_slide` interface.
-#' @param names_sep String specifying the separator to use in `tidyr::unnest()`
-#'   when `as_list_col = FALSE`. Default is "_". Using `NULL` drops the prefix
-#'   from `new_col_names` entirely.
-#' @param all_rows If `all_rows = TRUE`, then all rows of `x` will be kept in
-#'   the output even with `ref_time_values` provided, with some type of missing
-#'   value marker for the slide computation output column(s) for `time_value`s
-#'   outside `ref_time_values`; otherwise, there will be one row for each row in
-#'   `x` that had a `time_value` in `ref_time_values`. Default is `FALSE`. The
-#'   missing value marker is the result of `vctrs::vec_cast`ing `NA` to the type
-#'   of the slide computation output.
-#' @return An `epi_df` object given by appending one or more new columns to
-#'  `x`, depending on the `col_names` argument, named according to the
-#'  `new_col_names` argument.
-#'
-#' @details To "slide" means to apply a function or formula over a rolling
-#'   window of time steps for each data group, where the window is entered at a
-#'   reference time and left and right endpoints are given by the `before` and
-#'   `after` arguments. The unit (the meaning of one time step) is implicitly
-#'   defined by the way the `time_value` column treats addition and subtraction;
-#'   for example, if the time values are coded as `Date` objects, then one time
-#'   step is one day, since `as.Date("2022-01-01") + 1` equals
-#'   `as.Date("2022-01-02")`. Alternatively, the time step can be set explicitly
-#'   using the `time_step` argument (which if specified would override the
-#'   default choice based on `time_value` column). If there are not enough time
-#'   steps available to complete the window at any given reference time, then
-#'   `epi_slide()` still attempts to perform the computation anyway (it does not
-#'   require a complete window). The issue of what to do with partial
-#'   computations (those run on incomplete windows) is therefore left up to the
-#'   user, either through the specified function or formula `f`, or through
-#'   post-processing. For a centrally-aligned slide of `n` `time_value`s in a
-#'   sliding window, set `before = (n-1)/2` and `after = (n-1)/2` when the
-#'   number of `time_value`s in a sliding window is odd and `before = n/2-1` and
-#'   `after = n/2` when `n` is even.
 #'
-#'   Sometimes, we want to experiment with various trailing or leading window
-#'   widths and compare the slide outputs. In the (uncommon) case where
-#'   zero-width windows are considered, manually pass both the `before` and
-#'   `after` arguments in order to prevent potential warnings. (E.g., `before=k`
-#'   with `k=0` and `after` missing may produce a warning. To avoid warnings,
-#'   use `before=k, after=0` instead; otherwise, it looks too much like a
-#'   leading window was intended, but the `after` argument was forgotten or
-#'   misspelled.)
+#' @template opt-slide-details
 #'
 #' @importFrom dplyr bind_rows mutate %>% arrange tibble select
 #' @importFrom rlang enquo quo_get_expr as_label
@@ -507,7 +390,7 @@ epi_slide <- function(x, f, ..., before, after, ref_time_values,
 #'   group_by(geo_value) %>%
 #'   epi_slide_opt(
 #'     cases,
-#'     f = data.table::frollmean, new_col_names = "cases_7dav", names_sep = NULL, before = 6
+#'     f = data.table::frollmean, new_col_name = "cases_7dav", names_sep = NULL, before = 6
 #'   ) %>%
 #'   # Remove a nonessential var. to ensure new col is printed
 #'   dplyr::select(geo_value, time_value, cases, cases_7dav) %>%
@@ -519,7 +402,7 @@ epi_slide <- function(x, f, ..., before, after, ref_time_values,
 #'   group_by(geo_value) %>%
 #'   epi_slide_opt(cases,
 #'     f = data.table::frollmean,
-#'     new_col_names = "cases_7dav", names_sep = NULL, before = 6,
+#'     new_col_name = "cases_7dav", names_sep = NULL, before = 6,
 #'     # `frollmean` options
 #'     na.rm = TRUE, algo = "exact", hasNA = TRUE
 #'   ) %>%
@@ -531,7 +414,7 @@ epi_slide <- function(x, f, ..., before, after, ref_time_values,
 #'   group_by(geo_value) %>%
 #'   epi_slide_opt(
 #'     cases,
-#'     f = slider::slide_mean, new_col_names = "cases_7dav", names_sep = NULL, after = 6
+#'     f = slider::slide_mean, new_col_name = "cases_7dav", names_sep = NULL, after = 6
 #'   ) %>%
 #'   # Remove a nonessential var. to ensure new col is printed
 #'   dplyr::select(geo_value, time_value, cases, cases_7dav) %>%
@@ -542,14 +425,14 @@ epi_slide <- function(x, f, ..., before, after, ref_time_values,
 #'   group_by(geo_value) %>%
 #'   epi_slide_opt(
 #'     cases,
-#'     f = data.table::frollsum, new_col_names = "cases_7dav", names_sep = NULL, before = 3, after = 3
+#'     f = data.table::frollsum, new_col_name = "cases_7dav", names_sep = NULL, before = 3, after = 3
 #'   ) %>%
 #'   # Remove a nonessential var. to ensure new col is printed
 #'   dplyr::select(geo_value, time_value, cases, cases_7dav) %>%
 #'   ungroup()
 epi_slide_opt <- function(x, col_names, f, ..., before, after, ref_time_values,
                           time_step,
-                          new_col_names = "slide_value", as_list_col = NULL,
+                          new_col_name = "slide_value", as_list_col = NULL,
                           names_sep = "_", all_rows = FALSE) {
   assert_class(x, "epi_df")
 
@@ -678,28 +561,28 @@ epi_slide_opt <- function(x, col_names, f, ..., before, after, ref_time_values,
   # If single column name, do nothing.
 
   if (is.null(names_sep)) {
-    if (length(new_col_names) != length(col_names_chr)) {
+    if (length(new_col_name) != length(col_names_chr)) {
       cli_abort(
         c(
-          "`new_col_names` must be the same length as `col_names` when
+          "`new_col_name` must be the same length as `col_names` when
           `names_sep` is NULL to avoid duplicate output column names."
         ),
         class = "epiprocess__epi_slide_mean__col_names_length_mismatch",
-        epiprocess__new_col_names = new_col_names,
+        epiprocess__new_col_name = new_col_name,
         epiprocess__col_names = col_names_chr
       )
     }
-    result_col_names <- new_col_names
+    result_col_names <- new_col_name
   } else {
-    if (length(new_col_names) != 1L && length(new_col_names) != length(col_names_chr)) {
+    if (length(new_col_name) != 1L && length(new_col_name) != length(col_names_chr)) {
       cli_abort(
-        "`new_col_names` must be either length 1 or the same length as `col_names`.",
+        "`new_col_name` must be either length 1 or the same length as `col_names`.",
         class = "epiprocess__epi_slide_mean__col_names_length_mismatch_and_not_one",
-        epiprocess__new_col_names = new_col_names,
+        epiprocess__new_col_name = new_col_name,
         epiprocess__col_names = col_names_chr
       )
     }
-    result_col_names <- paste(new_col_names, col_names_chr, sep = names_sep)
+    result_col_names <- paste(new_col_name, col_names_chr, sep = names_sep)
   }
 
   slide_one_grp <- function(.data_group, .group_key, ...) {
@@ -802,13 +685,14 @@ epi_slide_opt <- function(x, col_names, f, ..., before, after, ref_time_values,
 #'
 #' Wrapper around `epi_slide_opt` with `f = datatable::frollmean`.
 #'
+#' @template basic-slide-params
+#' @template opt-slide-params
 #' @param ... Additional arguments to pass to `data.table::frollmean`, for
 #'   example, `na.rm` and `algo`. `data.table::frollmean` is automatically
 #'   passed the data `x` to operate on, the window size `n`, and the alignment
 #'   `align`. Providing these args via `...` will cause an error.
-#' @inheritParams epi_slide_opt
-#' @inherit epi_slide_opt return
-#' @inherit epi_slide_opt details
+#'
+#' @template opt-slide-details
 #'
 #' @export
 #' @seealso [`epi_slide`] [`epi_slide_opt`] [`epi_slide_sum`]
@@ -816,7 +700,7 @@ epi_slide_opt <- function(x, col_names, f, ..., before, after, ref_time_values,
 #' # slide a 7-day trailing average formula on cases
 #' jhu_csse_daily_subset %>%
 #'   group_by(geo_value) %>%
-#'   epi_slide_mean(cases, new_col_names = "cases_7dav", names_sep = NULL, before = 6) %>%
+#'   epi_slide_mean(cases, new_col_name = "cases_7dav", names_sep = NULL, before = 6) %>%
 #'   # Remove a nonessential var. to ensure new col is printed
 #'   dplyr::select(geo_value, time_value, cases, cases_7dav) %>%
 #'   ungroup()
@@ -826,7 +710,7 @@ epi_slide_opt <- function(x, col_names, f, ..., before, after, ref_time_values,
 #' jhu_csse_daily_subset %>%
 #'   group_by(geo_value) %>%
 #'   epi_slide_mean(cases,
-#'     new_col_names = "cases_7dav", names_sep = NULL, before = 6,
+#'     new_col_name = "cases_7dav", names_sep = NULL, before = 6,
 #'     # `frollmean` options
 #'     na.rm = TRUE, algo = "exact", hasNA = TRUE
 #'   ) %>%
@@ -836,7 +720,7 @@ epi_slide_opt <- function(x, col_names, f, ..., before, after, ref_time_values,
 #' # slide a 7-day leading average
 #' jhu_csse_daily_subset %>%
 #'   group_by(geo_value) %>%
-#'   epi_slide_mean(cases, new_col_names = "cases_7dav", names_sep = NULL, after = 6) %>%
+#'   epi_slide_mean(cases, new_col_name = "cases_7dav", names_sep = NULL, after = 6) %>%
 #'   # Remove a nonessential var. to ensure new col is printed
 #'   dplyr::select(geo_value, time_value, cases, cases_7dav) %>%
 #'   ungroup()
@@ -844,7 +728,7 @@ epi_slide_opt <- function(x, col_names, f, ..., before, after, ref_time_values,
 #' # slide a 7-day centre-aligned average
 #' jhu_csse_daily_subset %>%
 #'   group_by(geo_value) %>%
-#'   epi_slide_mean(cases, new_col_names = "cases_7dav", names_sep = NULL, before = 3, after = 3) %>%
+#'   epi_slide_mean(cases, new_col_name = "cases_7dav", names_sep = NULL, before = 3, after = 3) %>%
 #'   # Remove a nonessential var. to ensure new col is printed
 #'   dplyr::select(geo_value, time_value, cases, cases_7dav) %>%
 #'   ungroup()
@@ -852,13 +736,13 @@ epi_slide_opt <- function(x, col_names, f, ..., before, after, ref_time_values,
 #' # slide a 14-day centre-aligned average
 #' jhu_csse_daily_subset %>%
 #'   group_by(geo_value) %>%
-#'   epi_slide_mean(cases, new_col_names = "cases_14dav", names_sep = NULL, before = 6, after = 7) %>%
+#'   epi_slide_mean(cases, new_col_name = "cases_14dav", names_sep = NULL, before = 6, after = 7) %>%
 #'   # Remove a nonessential var. to ensure new col is printed
 #'   dplyr::select(geo_value, time_value, cases, cases_14dav) %>%
 #'   ungroup()
 epi_slide_mean <- function(x, col_names, ..., before, after, ref_time_values,
                            time_step,
-                           new_col_names = "slide_value", as_list_col = NULL,
+                           new_col_name = "slide_value", as_list_col = NULL,
                            names_sep = "_", all_rows = FALSE) {
   epi_slide_opt(
     x = x,
@@ -869,7 +753,7 @@ epi_slide_mean <- function(x, col_names, ..., before, after, ref_time_values,
     after = after,
     ref_time_values = ref_time_values,
     time_step = time_step,
-    new_col_names = new_col_names,
+    new_col_name = new_col_name,
     as_list_col = as_list_col,
     names_sep = names_sep,
     all_rows = all_rows
@@ -878,19 +762,20 @@ epi_slide_mean <- function(x, col_names, ..., before, after, ref_time_values,
 
 #' Optimized slide function for performing rolling sums on an `epi_df` object
 #'
-#' Slides an n-timestep mean over variables in an `epi_df` object. See the [slide
+#' Slides an n-timestep sum over variables in an `epi_df` object. See the [slide
 #' vignette](https://cmu-delphi.github.io/epiprocess/articles/slide.html) for
 #' examples.
 #'
 #' Wrapper around `epi_slide_opt` with `f = datatable::frollsum`.
 #'
+#' @template basic-slide-params
+#' @template opt-slide-params
 #' @param ... Additional arguments to pass to `data.table::frollsum`, for
 #'   example, `na.rm` and `algo`. `data.table::frollsum` is automatically
 #'   passed the data `x` to operate on, the window size `n`, and the alignment
 #'   `align`. Providing these args via `...` will cause an error.
-#' @inheritParams epi_slide_opt
-#' @inherit epi_slide_opt return
-#' @inherit epi_slide_opt details
+#'
+#' @template opt-slide-details
 #'
 #' @export
 #' @seealso [`epi_slide`] [`epi_slide_opt`] [`epi_slide_mean`]
@@ -898,13 +783,13 @@ epi_slide_mean <- function(x, col_names, ..., before, after, ref_time_values,
 #' # slide a 7-day trailing sum formula on cases
 #' jhu_csse_daily_subset %>%
 #'   group_by(geo_value) %>%
-#'   epi_slide_sum(cases, new_col_names = "cases_7dsum", names_sep = NULL, before = 6) %>%
+#'   epi_slide_sum(cases, new_col_name = "cases_7dsum", names_sep = NULL, before = 6) %>%
 #'   # Remove a nonessential var. to ensure new col is printed
 #'   dplyr::select(geo_value, time_value, cases, cases_7dsum) %>%
 #'   ungroup()
 epi_slide_sum <- function(x, col_names, ..., before, after, ref_time_values,
                           time_step,
-                          new_col_names = "slide_value", as_list_col = NULL,
+                          new_col_name = "slide_value", as_list_col = NULL,
                           names_sep = "_", all_rows = FALSE) {
   epi_slide_opt(
     x = x,
@@ -915,7 +800,7 @@ epi_slide_sum <- function(x, col_names, ..., before, after, ref_time_values,
     after = after,
     ref_time_values = ref_time_values,
     time_step = time_step,
-    new_col_names = new_col_names,
+    new_col_name = new_col_name,
     as_list_col = as_list_col,
     names_sep = names_sep,
     all_rows = all_rows
@@ -943,7 +828,7 @@ full_date_seq <- function(x, before, after, time_step) {
   # `tsibble` classes apparently can't be added to in different units, so even
   # if `time_step` is provided by the user, use a value-1 unitless step.
   if (inherits(x$time_value, c("yearquarter", "yearweek", "yearmonth")) ||
-    is.numeric(x$time_value)) {
+    is.numeric(x$time_value)) { # nolint: indentation_linter
     all_dates <- seq(min(x$time_value), max(x$time_value), by = 1L)
 
     if (before != 0) {
diff --git a/man-roxygen/basic-slide-params.R b/man-roxygen/basic-slide-params.R
new file mode 100644
index 00000000..383c102d
--- /dev/null
+++ b/man-roxygen/basic-slide-params.R
@@ -0,0 +1,45 @@
+#' @param x The `epi_df` object under consideration, [grouped][dplyr::group_by]
+#'   or ungrouped. If ungrouped, all data in `x` will be treated as part of a
+#'   single data group.
+#' @param before,after How far `before` and `after` each `ref_time_value` should
+#'   the sliding window extend? At least one of these two arguments must be
+#'   provided; the other's default will be 0. Any value provided for either
+#'   argument must be a single, non-`NA`, non-negative,
+#'   [integer-compatible][vctrs::vec_cast] number of time steps. Endpoints of
+#'   the window are inclusive. Common settings:
+#'   * For trailing/right-aligned windows from `ref_time_value - time_step
+#'     (k)` to `ref_time_value`: either pass `before=k` by itself, or pass
+#'     `before=k, after=0`.
+#'   * For center-aligned windows from `ref_time_value - time_step(k)` to
+#'     `ref_time_value + time_step(k)`: pass `before=k, after=k`.
+#'   * For leading/left-aligned windows from `ref_time_value` to
+#'     `ref_time_value + time_step(k)`: either pass pass `after=k` by itself,
+#'     or pass `before=0, after=k`.
+#'   See "Details:" about the definition of a time step,(non)treatment of
+#'   missing rows within the window, and avoiding warnings about
+#'   `before`&`after` settings for a certain uncommon use case.
+#' @param ref_time_values Time values for sliding computations, meaning, each
+#'   element of this vector serves as the reference time point for one sliding
+#'   window. If missing, then this will be set to all unique time values in the
+#'   underlying data table, by default.
+#' @param time_step Optional function used to define the meaning of one time
+#'   step, which if specified, overrides the default choice based on the
+#'   `time_value` column. This function must take a non-negative integer and
+#'   return an object of class [lubridate::period]. For example, we can use
+#'   `time_step = lubridate::hours` in order to set the time step to be one hour
+#'   (this would only be meaningful if `time_value` is of class `POSIXct`).
+#' @param names_sep String specifying the separator to use in `tidyr::unnest()`
+#'   when `as_list_col = FALSE`. Default is "_". Using `NULL` drops the prefix
+#'   from `new_col_name` entirely.
+#' @param all_rows If `all_rows = TRUE`, then all rows of `x` will be kept in
+#'   the output even with `ref_time_values` provided, with some type of missing
+#'   value marker for the slide computation output column(s) for `time_value`s
+#'   outside `ref_time_values`; otherwise, there will be one row for each row in
+#'   `x` that had a `time_value` in `ref_time_values`. Default is `FALSE`. The
+#'   missing value marker is the result of `vctrs::vec_cast`ing `NA` to the type
+#'   of the slide computation output. If using `as_list_col = TRUE`, note that
+#'   the missing marker is a `NULL` entry in the list column; for certain
+#'   operations, you might want to replace these `NULL` entries with a different
+#'   `NA` marker.
+#' @return An `epi_df` object given by appending one or more new columns to
+#'  `x`, named according to the `new_col_name` argument.
diff --git a/man-roxygen/detect-outlr-return.R b/man-roxygen/detect-outlr-return.R
new file mode 100644
index 00000000..50222e0e
--- /dev/null
+++ b/man-roxygen/detect-outlr-return.R
@@ -0,0 +1,3 @@
+#' @return An tibble with number of rows equal to `length(y)` and columns
+#'  giving the outlier detection thresholds (`lower` and `upper`) and
+#'  replacement values from each detection method (`replacement`).
diff --git a/man-roxygen/epi_df-params.R b/man-roxygen/epi_df-params.R
new file mode 100644
index 00000000..54d8c2d2
--- /dev/null
+++ b/man-roxygen/epi_df-params.R
@@ -0,0 +1,19 @@
+#' @param x A data.frame, [tibble::tibble], or [tsibble::tsibble] to be converted
+#' @param geo_type Type for the geo values. If missing, then the function will
+#'   attempt to infer it from the geo values present; if this fails, then it
+#'   will be set to "custom".
+#' @param time_type Type for the time values. If missing, then the function will
+#'   attempt to infer it from the time values present; if this fails, then it
+#'   will be set to "custom".
+#' @param as_of Time value representing the time at which the given data were
+#'   available. For example, if `as_of` is January 31, 2022, then the `epi_df`
+#'   object that is created would represent the most up-to-date version of the
+#'   data available as of January 31, 2022. If the `as_of` argument is missing,
+#'   then the current day-time will be used.
+#' @param additional_metadata List of additional metadata to attach to the
+#'   `epi_df` object. The metadata will have `geo_type`, `time_type`, and
+#'   `as_of` fields; named entries from the passed list will be included as
+#'   well. If your tibble has additional keys, be sure to specify them as a
+#'   character vector in the `other_keys` component of `additional_metadata`.
+#' @param ... Additional arguments passed to methods.
+#' @return An `epi_df` object.
diff --git a/man-roxygen/opt-slide-details.R b/man-roxygen/opt-slide-details.R
new file mode 100644
index 00000000..33fb437c
--- /dev/null
+++ b/man-roxygen/opt-slide-details.R
@@ -0,0 +1,25 @@
+#' @details To "slide" means to apply a function over a rolling window of time
+#'   steps for each data group, where the window is centered at a reference
+#'   time and left and right endpoints are given by the `before` and `after`
+#'   arguments. The unit (the meaning of one time step) is implicitly defined
+#'   by the way the `time_value` column treats addition and subtraction; for
+#'   example, if the time values are coded as `Date` objects, then one time
+#'   step is one day, since `as.Date("2022-01-01") + 1` equals `as.Date
+#'   ("2022-01-02")`. Alternatively, the time step can be set explicitly using
+#'   the `time_step` argument (which if specified would override the default
+#'   choice based on `time_value` column). If there are not enough time steps
+#'   available to complete the window at any given reference time, then
+#'   `epi_slide_*()` will fail; it requires a complete window to perform the
+#'   computation. For a centrally-aligned slide of `n` `time_value`s in a
+#'   sliding window, set `before = (n-1)/2` and `after = (n-1)/2` when the
+#'   number of `time_value`s in a sliding window is odd and `before = n/2-1`
+#'   and `after = n/2` when `n` is even.
+#'
+#'   Sometimes, we want to experiment with various trailing or leading window
+#'   widths and compare the slide outputs. In the (uncommon) case where
+#'   zero-width windows are considered, manually pass both the `before` and
+#'   `after` arguments in order to prevent potential warnings. (E.g., `before=k`
+#'   with `k=0` and `after` missing may produce a warning. To avoid warnings,
+#'   use `before=k, after=0` instead; otherwise, it looks too much like a
+#'   leading window was intended, but the `after` argument was forgotten or
+#'   misspelled.)
diff --git a/man-roxygen/opt-slide-params.R b/man-roxygen/opt-slide-params.R
new file mode 100644
index 00000000..a7d5b04a
--- /dev/null
+++ b/man-roxygen/opt-slide-params.R
@@ -0,0 +1,8 @@
+#' @param col_names A single tidyselection or a tidyselection vector of the
+#'  names of one or more columns for which to calculate the rolling mean.
+#' @param as_list_col Not supported. Included to match `epi_slide` interface.
+#' @param new_col_name Character vector indicating the name(s) of the new
+#'  column(s) that will contain the derivative values. Default
+#'  is "slide_value"; note that setting `new_col_name` equal to any existing
+#'  column names will overwrite those columns. If `names_sep` is `NULL`,
+#'  `new_col_name` must be the same length as `col_names`.
diff --git a/man-roxygen/outlier-detection-options.R b/man-roxygen/outlier-detection-options.R
new file mode 100644
index 00000000..4b4260e5
--- /dev/null
+++ b/man-roxygen/outlier-detection-options.R
@@ -0,0 +1,15 @@
+#' @param log_transform Should a log transform be applied before running outlier
+#'   detection? Default is `FALSE`. If `TRUE`, and zeros are present, then the
+#'   log transform will be padded by 1.
+#' @param detect_negatives Should negative values automatically count as
+#'   outliers? Default is `FALSE`.
+#' @param detection_multiplier Value determining how far the outlier detection
+#'   thresholds are from the rolling median, which are calculated as (rolling
+#'   median) +/- (detection multiplier) * (rolling IQR). Default is 2.
+#' @param min_radius Minimum distance between rolling median and threshold, on
+#'   transformed scale. Default is 0.
+#' @param replacement_multiplier Value determining how far the replacement
+#'   values are from the rolling median. The replacement is the original value
+#'   if it is within the detection thresholds, or otherwise it is rounded to the
+#'   nearest (rolling median) +/- (replacement multiplier) * (rolling IQR).
+#'   Default is 0.
diff --git a/man-roxygen/x-y.R b/man-roxygen/x-y.R
new file mode 100644
index 00000000..a4f9d1d7
--- /dev/null
+++ b/man-roxygen/x-y.R
@@ -0,0 +1,4 @@
+#' @param x Design points corresponding to the signal values `y`. Default is
+#'   `seq_along(y)` (that is, equally-spaced points from 1 to the length of
+#'   `y`).
+#' @param y Signal values.
diff --git a/man-roxygen/x.R b/man-roxygen/x.R
new file mode 100644
index 00000000..a26f9f25
--- /dev/null
+++ b/man-roxygen/x.R
@@ -0,0 +1 @@
+#' @param x an `epi_df`
diff --git a/man/as_tibble.epi_df.Rd b/man/as_tibble.epi_df.Rd
index c314f47e..5913a5e7 100644
--- a/man/as_tibble.epi_df.Rd
+++ b/man/as_tibble.epi_df.Rd
@@ -9,7 +9,7 @@
 \arguments{
 \item{x}{an \code{epi_df}}
 
-\item{...}{arguments to forward to \code{NextMethod()}}
+\item{...}{additional arguments to forward to \code{NextMethod()}}
 }
 \description{
 Converts an \code{epi_df} object into a tibble, dropping metadata and any
diff --git a/man/as_tsibble.epi_df.Rd b/man/as_tsibble.epi_df.Rd
index 98ca7f74..73200c3b 100644
--- a/man/as_tsibble.epi_df.Rd
+++ b/man/as_tsibble.epi_df.Rd
@@ -7,7 +7,7 @@
 \method{as_tsibble}{epi_df}(x, key, ...)
 }
 \arguments{
-\item{x}{The \code{epi_df} object.}
+\item{x}{an \code{epi_df}}
 
 \item{key}{Optional. Any additional keys (other than \code{geo_value}) to add to
 the \code{tsibble}.}
diff --git a/man/detect_outlr.Rd b/man/detect_outlr.Rd
index 3a793ebf..4263a64b 100644
--- a/man/detect_outlr.Rd
+++ b/man/detect_outlr.Rd
@@ -38,9 +38,9 @@ summarized results are calculated. Note that if the number of \code{methods}
 purposes of determining whether a given observation is an outlier.}
 }
 \value{
-An tibble with number of rows equal to \code{length(y)} and columns giving
-the outlier detection thresholds and replacement values from each detection
-method.
+An tibble with number of rows equal to \code{length(y)} and columns
+giving the outlier detection thresholds (\code{lower} and \code{upper}) and
+replacement values from each detection method (\code{replacement}).
 }
 \description{
 Applies one or more outlier detection methods to a given signal variable, and
diff --git a/man/detect_outlr_rm.Rd b/man/detect_outlr_rm.Rd
index 0d011619..333c4a7b 100644
--- a/man/detect_outlr_rm.Rd
+++ b/man/detect_outlr_rm.Rd
@@ -49,8 +49,9 @@ nearest (rolling median) +/- (replacement multiplier) * (rolling IQR).
 Default is 0.}
 }
 \value{
-A tibble with number of rows equal to \code{length(y)}, and columns
-\code{lower}, \code{upper}, and \code{replacement}.
+An tibble with number of rows equal to \code{length(y)} and columns
+giving the outlier detection thresholds (\code{lower} and \code{upper}) and
+replacement values from each detection method (\code{replacement}).
 }
 \description{
 Detects outliers based on a distance from the rolling median specified in
diff --git a/man/detect_outlr_stl.Rd b/man/detect_outlr_stl.Rd
index 34a550d5..2b518451 100644
--- a/man/detect_outlr_stl.Rd
+++ b/man/detect_outlr_stl.Rd
@@ -59,8 +59,9 @@ nearest (rolling median) +/- (replacement multiplier) * (rolling IQR).
 Default is 0.}
 }
 \value{
-A tibble with number of rows equal to \code{length(y)}, and columns
-\code{lower}, \code{upper}, and \code{replacement}.
+An tibble with number of rows equal to \code{length(y)} and columns
+giving the outlier detection thresholds (\code{lower} and \code{upper}) and
+replacement values from each detection method (\code{replacement}).
 }
 \description{
 Detects outliers based on a seasonal-trend decomposition using LOESS (STL).
diff --git a/man/epi_slide.Rd b/man/epi_slide.Rd
index 2fe1dce6..0d0dfb55 100644
--- a/man/epi_slide.Rd
+++ b/man/epi_slide.Rd
@@ -72,7 +72,7 @@ underlying data table, by default.}
 \item{time_step}{Optional function used to define the meaning of one time
 step, which if specified, overrides the default choice based on the
 \code{time_value} column. This function must take a non-negative integer and
-return an object of class \code{lubridate::period}. For example, we can use
+return an object of class \link[lubridate:period]{lubridate::period}. For example, we can use
 \code{time_step = lubridate::hours} in order to set the time step to be one hour
 (this would only be meaningful if \code{time_value} is of class \code{POSIXct}).}
 
@@ -103,16 +103,17 @@ operations, you might want to replace these \code{NULL} entries with a different
 \code{NA} marker.}
 }
 \value{
-An \code{epi_df} object given by appending a new column to \code{x}, named
-according to the \code{new_col_name} argument.
+An \code{epi_df} object given by appending one or more new columns to
+\code{x}, named according to the \code{new_col_name} argument.
 }
 \description{
-Slides a given function over variables in an \code{epi_df} object. See the \href{https://cmu-delphi.github.io/epiprocess/articles/slide.html}{slide vignette} for
-examples.
+Slides a given function over variables in an \code{epi_df} object. See the
+\href{https://cmu-delphi.github.io/epiprocess/articles/slide.html}{slide vignette}
+for examples.
 }
 \details{
 To "slide" means to apply a function or formula over a rolling
-window of time steps for each data group, where the window is entered at a
+window of time steps for each data group, where the window is centered at a
 reference time and left and right endpoints are given by the \code{before} and
 \code{after} arguments. The unit (the meaning of one time step) is implicitly
 defined by the way the \code{time_value} column treats addition and subtraction;
diff --git a/man/epi_slide_mean.Rd b/man/epi_slide_mean.Rd
index 19b6fcec..ee3e7838 100644
--- a/man/epi_slide_mean.Rd
+++ b/man/epi_slide_mean.Rd
@@ -12,7 +12,7 @@ epi_slide_mean(
   after,
   ref_time_values,
   time_step,
-  new_col_names = "slide_value",
+  new_col_name = "slide_value",
   as_list_col = NULL,
   names_sep = "_",
   all_rows = FALSE
@@ -62,15 +62,17 @@ return an object of class \link[lubridate:period]{lubridate::period}. For exampl
 \code{time_step = lubridate::hours} in order to set the time step to be one hour
 (this would only be meaningful if \code{time_value} is of class \code{POSIXct}).}
 
-\item{new_col_names}{String indicating the name of the new column that will
-contain the derivative values. Default is "slide_value"; note that setting
-\code{new_col_names} equal to an existing column name will overwrite this column.}
+\item{new_col_name}{Character vector indicating the name(s) of the new
+column(s) that will contain the derivative values. Default
+is "slide_value"; note that setting \code{new_col_name} equal to any existing
+column names will overwrite those columns. If \code{names_sep} is \code{NULL},
+\code{new_col_name} must be the same length as \code{col_names}.}
 
 \item{as_list_col}{Not supported. Included to match \code{epi_slide} interface.}
 
 \item{names_sep}{String specifying the separator to use in \code{tidyr::unnest()}
 when \code{as_list_col = FALSE}. Default is "_". Using \code{NULL} drops the prefix
-from \code{new_col_names} entirely.}
+from \code{new_col_name} entirely.}
 
 \item{all_rows}{If \code{all_rows = TRUE}, then all rows of \code{x} will be kept in
 the output even with \code{ref_time_values} provided, with some type of missing
@@ -78,12 +80,14 @@ value marker for the slide computation output column(s) for \code{time_value}s
 outside \code{ref_time_values}; otherwise, there will be one row for each row in
 \code{x} that had a \code{time_value} in \code{ref_time_values}. Default is \code{FALSE}. The
 missing value marker is the result of \code{vctrs::vec_cast}ing \code{NA} to the type
-of the slide computation output.}
+of the slide computation output. If using \code{as_list_col = TRUE}, note that
+the missing marker is a \code{NULL} entry in the list column; for certain
+operations, you might want to replace these \code{NULL} entries with a different
+\code{NA} marker.}
 }
 \value{
 An \code{epi_df} object given by appending one or more new columns to
-\code{x}, depending on the \code{col_names} argument, named according to the
-\code{new_col_names} argument.
+\code{x}, named according to the \code{new_col_name} argument.
 }
 \description{
 Slides an n-timestep mean over variables in an \code{epi_df} object. See the \href{https://cmu-delphi.github.io/epiprocess/articles/slide.html}{slide vignette} for
@@ -91,12 +95,37 @@ examples.
 }
 \details{
 Wrapper around \code{epi_slide_opt} with \code{f = datatable::frollmean}.
+
+To "slide" means to apply a function over a rolling window of time
+steps for each data group, where the window is centered at a reference
+time and left and right endpoints are given by the \code{before} and \code{after}
+arguments. The unit (the meaning of one time step) is implicitly defined
+by the way the \code{time_value} column treats addition and subtraction; for
+example, if the time values are coded as \code{Date} objects, then one time
+step is one day, since \code{as.Date("2022-01-01") + 1} equals \code{as.Date ("2022-01-02")}. Alternatively, the time step can be set explicitly using
+the \code{time_step} argument (which if specified would override the default
+choice based on \code{time_value} column). If there are not enough time steps
+available to complete the window at any given reference time, then
+\verb{epi_slide_*()} will fail; it requires a complete window to perform the
+computation. For a centrally-aligned slide of \code{n} \code{time_value}s in a
+sliding window, set \code{before = (n-1)/2} and \code{after = (n-1)/2} when the
+number of \code{time_value}s in a sliding window is odd and \code{before = n/2-1}
+and \code{after = n/2} when \code{n} is even.
+
+Sometimes, we want to experiment with various trailing or leading window
+widths and compare the slide outputs. In the (uncommon) case where
+zero-width windows are considered, manually pass both the \code{before} and
+\code{after} arguments in order to prevent potential warnings. (E.g., \code{before=k}
+with \code{k=0} and \code{after} missing may produce a warning. To avoid warnings,
+use \verb{before=k, after=0} instead; otherwise, it looks too much like a
+leading window was intended, but the \code{after} argument was forgotten or
+misspelled.)
 }
 \examples{
 # slide a 7-day trailing average formula on cases
 jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
-  epi_slide_mean(cases, new_col_names = "cases_7dav", names_sep = NULL, before = 6) \%>\%
+  epi_slide_mean(cases, new_col_name = "cases_7dav", names_sep = NULL, before = 6) \%>\%
   # Remove a nonessential var. to ensure new col is printed
   dplyr::select(geo_value, time_value, cases, cases_7dav) \%>\%
   ungroup()
@@ -106,7 +135,7 @@ jhu_csse_daily_subset \%>\%
 jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
   epi_slide_mean(cases,
-    new_col_names = "cases_7dav", names_sep = NULL, before = 6,
+    new_col_name = "cases_7dav", names_sep = NULL, before = 6,
     # `frollmean` options
     na.rm = TRUE, algo = "exact", hasNA = TRUE
   ) \%>\%
@@ -116,7 +145,7 @@ jhu_csse_daily_subset \%>\%
 # slide a 7-day leading average
 jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
-  epi_slide_mean(cases, new_col_names = "cases_7dav", names_sep = NULL, after = 6) \%>\%
+  epi_slide_mean(cases, new_col_name = "cases_7dav", names_sep = NULL, after = 6) \%>\%
   # Remove a nonessential var. to ensure new col is printed
   dplyr::select(geo_value, time_value, cases, cases_7dav) \%>\%
   ungroup()
@@ -124,7 +153,7 @@ jhu_csse_daily_subset \%>\%
 # slide a 7-day centre-aligned average
 jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
-  epi_slide_mean(cases, new_col_names = "cases_7dav", names_sep = NULL, before = 3, after = 3) \%>\%
+  epi_slide_mean(cases, new_col_name = "cases_7dav", names_sep = NULL, before = 3, after = 3) \%>\%
   # Remove a nonessential var. to ensure new col is printed
   dplyr::select(geo_value, time_value, cases, cases_7dav) \%>\%
   ungroup()
@@ -132,7 +161,7 @@ jhu_csse_daily_subset \%>\%
 # slide a 14-day centre-aligned average
 jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
-  epi_slide_mean(cases, new_col_names = "cases_14dav", names_sep = NULL, before = 6, after = 7) \%>\%
+  epi_slide_mean(cases, new_col_name = "cases_14dav", names_sep = NULL, before = 6, after = 7) \%>\%
   # Remove a nonessential var. to ensure new col is printed
   dplyr::select(geo_value, time_value, cases, cases_14dav) \%>\%
   ungroup()
diff --git a/man/epi_slide_opt.Rd b/man/epi_slide_opt.Rd
index 9c9cf6c4..0772b431 100644
--- a/man/epi_slide_opt.Rd
+++ b/man/epi_slide_opt.Rd
@@ -13,7 +13,7 @@ epi_slide_opt(
   after,
   ref_time_values,
   time_step,
-  new_col_names = "slide_value",
+  new_col_name = "slide_value",
   as_list_col = NULL,
   names_sep = "_",
   all_rows = FALSE
@@ -83,15 +83,17 @@ return an object of class \link[lubridate:period]{lubridate::period}. For exampl
 \code{time_step = lubridate::hours} in order to set the time step to be one hour
 (this would only be meaningful if \code{time_value} is of class \code{POSIXct}).}
 
-\item{new_col_names}{String indicating the name of the new column that will
-contain the derivative values. Default is "slide_value"; note that setting
-\code{new_col_names} equal to an existing column name will overwrite this column.}
+\item{new_col_name}{Character vector indicating the name(s) of the new
+column(s) that will contain the derivative values. Default
+is "slide_value"; note that setting \code{new_col_name} equal to any existing
+column names will overwrite those columns. If \code{names_sep} is \code{NULL},
+\code{new_col_name} must be the same length as \code{col_names}.}
 
 \item{as_list_col}{Not supported. Included to match \code{epi_slide} interface.}
 
 \item{names_sep}{String specifying the separator to use in \code{tidyr::unnest()}
 when \code{as_list_col = FALSE}. Default is "_". Using \code{NULL} drops the prefix
-from \code{new_col_names} entirely.}
+from \code{new_col_name} entirely.}
 
 \item{all_rows}{If \code{all_rows = TRUE}, then all rows of \code{x} will be kept in
 the output even with \code{ref_time_values} provided, with some type of missing
@@ -99,37 +101,37 @@ value marker for the slide computation output column(s) for \code{time_value}s
 outside \code{ref_time_values}; otherwise, there will be one row for each row in
 \code{x} that had a \code{time_value} in \code{ref_time_values}. Default is \code{FALSE}. The
 missing value marker is the result of \code{vctrs::vec_cast}ing \code{NA} to the type
-of the slide computation output.}
+of the slide computation output. If using \code{as_list_col = TRUE}, note that
+the missing marker is a \code{NULL} entry in the list column; for certain
+operations, you might want to replace these \code{NULL} entries with a different
+\code{NA} marker.}
 }
 \value{
 An \code{epi_df} object given by appending one or more new columns to
-\code{x}, depending on the \code{col_names} argument, named according to the
-\code{new_col_names} argument.
+\code{x}, named according to the \code{new_col_name} argument.
 }
 \description{
-Slides an n-timestep mean over variables in an \code{epi_df} object. See the \href{https://cmu-delphi.github.io/epiprocess/articles/slide.html}{slide vignette} for
-examples.
+Slides an n-timestep \link[data.table:froll]{data.table::froll} or \link[slider:summary-slide]{slider::summary-slide} function
+over variables in an \code{epi_df} object. See the
+\href{https://cmu-delphi.github.io/epiprocess/articles/slide.html}{slide vignette}
+for examples.
 }
 \details{
-To "slide" means to apply a function or formula over a rolling
-window of time steps for each data group, where the window is entered at a
-reference time and left and right endpoints are given by the \code{before} and
-\code{after} arguments. The unit (the meaning of one time step) is implicitly
-defined by the way the \code{time_value} column treats addition and subtraction;
-for example, if the time values are coded as \code{Date} objects, then one time
-step is one day, since \code{as.Date("2022-01-01") + 1} equals
-\code{as.Date("2022-01-02")}. Alternatively, the time step can be set explicitly
-using the \code{time_step} argument (which if specified would override the
-default choice based on \code{time_value} column). If there are not enough time
-steps available to complete the window at any given reference time, then
-\code{epi_slide()} still attempts to perform the computation anyway (it does not
-require a complete window). The issue of what to do with partial
-computations (those run on incomplete windows) is therefore left up to the
-user, either through the specified function or formula \code{f}, or through
-post-processing. For a centrally-aligned slide of \code{n} \code{time_value}s in a
+To "slide" means to apply a function over a rolling window of time
+steps for each data group, where the window is centered at a reference
+time and left and right endpoints are given by the \code{before} and \code{after}
+arguments. The unit (the meaning of one time step) is implicitly defined
+by the way the \code{time_value} column treats addition and subtraction; for
+example, if the time values are coded as \code{Date} objects, then one time
+step is one day, since \code{as.Date("2022-01-01") + 1} equals \code{as.Date ("2022-01-02")}. Alternatively, the time step can be set explicitly using
+the \code{time_step} argument (which if specified would override the default
+choice based on \code{time_value} column). If there are not enough time steps
+available to complete the window at any given reference time, then
+\verb{epi_slide_*()} will fail; it requires a complete window to perform the
+computation. For a centrally-aligned slide of \code{n} \code{time_value}s in a
 sliding window, set \code{before = (n-1)/2} and \code{after = (n-1)/2} when the
-number of \code{time_value}s in a sliding window is odd and \code{before = n/2-1} and
-\code{after = n/2} when \code{n} is even.
+number of \code{time_value}s in a sliding window is odd and \code{before = n/2-1}
+and \code{after = n/2} when \code{n} is even.
 
 Sometimes, we want to experiment with various trailing or leading window
 widths and compare the slide outputs. In the (uncommon) case where
@@ -146,7 +148,7 @@ jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
   epi_slide_opt(
     cases,
-    f = data.table::frollmean, new_col_names = "cases_7dav", names_sep = NULL, before = 6
+    f = data.table::frollmean, new_col_name = "cases_7dav", names_sep = NULL, before = 6
   ) \%>\%
   # Remove a nonessential var. to ensure new col is printed
   dplyr::select(geo_value, time_value, cases, cases_7dav) \%>\%
@@ -158,7 +160,7 @@ jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
   epi_slide_opt(cases,
     f = data.table::frollmean,
-    new_col_names = "cases_7dav", names_sep = NULL, before = 6,
+    new_col_name = "cases_7dav", names_sep = NULL, before = 6,
     # `frollmean` options
     na.rm = TRUE, algo = "exact", hasNA = TRUE
   ) \%>\%
@@ -170,7 +172,7 @@ jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
   epi_slide_opt(
     cases,
-    f = slider::slide_mean, new_col_names = "cases_7dav", names_sep = NULL, after = 6
+    f = slider::slide_mean, new_col_name = "cases_7dav", names_sep = NULL, after = 6
   ) \%>\%
   # Remove a nonessential var. to ensure new col is printed
   dplyr::select(geo_value, time_value, cases, cases_7dav) \%>\%
@@ -181,7 +183,7 @@ jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
   epi_slide_opt(
     cases,
-    f = data.table::frollsum, new_col_names = "cases_7dav", names_sep = NULL, before = 3, after = 3
+    f = data.table::frollsum, new_col_name = "cases_7dav", names_sep = NULL, before = 3, after = 3
   ) \%>\%
   # Remove a nonessential var. to ensure new col is printed
   dplyr::select(geo_value, time_value, cases, cases_7dav) \%>\%
diff --git a/man/epi_slide_sum.Rd b/man/epi_slide_sum.Rd
index 001bafdf..d5961f27 100644
--- a/man/epi_slide_sum.Rd
+++ b/man/epi_slide_sum.Rd
@@ -12,7 +12,7 @@ epi_slide_sum(
   after,
   ref_time_values,
   time_step,
-  new_col_names = "slide_value",
+  new_col_name = "slide_value",
   as_list_col = NULL,
   names_sep = "_",
   all_rows = FALSE
@@ -62,15 +62,17 @@ return an object of class \link[lubridate:period]{lubridate::period}. For exampl
 \code{time_step = lubridate::hours} in order to set the time step to be one hour
 (this would only be meaningful if \code{time_value} is of class \code{POSIXct}).}
 
-\item{new_col_names}{String indicating the name of the new column that will
-contain the derivative values. Default is "slide_value"; note that setting
-\code{new_col_names} equal to an existing column name will overwrite this column.}
+\item{new_col_name}{Character vector indicating the name(s) of the new
+column(s) that will contain the derivative values. Default
+is "slide_value"; note that setting \code{new_col_name} equal to any existing
+column names will overwrite those columns. If \code{names_sep} is \code{NULL},
+\code{new_col_name} must be the same length as \code{col_names}.}
 
 \item{as_list_col}{Not supported. Included to match \code{epi_slide} interface.}
 
 \item{names_sep}{String specifying the separator to use in \code{tidyr::unnest()}
 when \code{as_list_col = FALSE}. Default is "_". Using \code{NULL} drops the prefix
-from \code{new_col_names} entirely.}
+from \code{new_col_name} entirely.}
 
 \item{all_rows}{If \code{all_rows = TRUE}, then all rows of \code{x} will be kept in
 the output even with \code{ref_time_values} provided, with some type of missing
@@ -78,25 +80,52 @@ value marker for the slide computation output column(s) for \code{time_value}s
 outside \code{ref_time_values}; otherwise, there will be one row for each row in
 \code{x} that had a \code{time_value} in \code{ref_time_values}. Default is \code{FALSE}. The
 missing value marker is the result of \code{vctrs::vec_cast}ing \code{NA} to the type
-of the slide computation output.}
+of the slide computation output. If using \code{as_list_col = TRUE}, note that
+the missing marker is a \code{NULL} entry in the list column; for certain
+operations, you might want to replace these \code{NULL} entries with a different
+\code{NA} marker.}
 }
 \value{
 An \code{epi_df} object given by appending one or more new columns to
-\code{x}, depending on the \code{col_names} argument, named according to the
-\code{new_col_names} argument.
+\code{x}, named according to the \code{new_col_name} argument.
 }
 \description{
-Slides an n-timestep mean over variables in an \code{epi_df} object. See the \href{https://cmu-delphi.github.io/epiprocess/articles/slide.html}{slide vignette} for
+Slides an n-timestep sum over variables in an \code{epi_df} object. See the \href{https://cmu-delphi.github.io/epiprocess/articles/slide.html}{slide vignette} for
 examples.
 }
 \details{
 Wrapper around \code{epi_slide_opt} with \code{f = datatable::frollsum}.
+
+To "slide" means to apply a function over a rolling window of time
+steps for each data group, where the window is centered at a reference
+time and left and right endpoints are given by the \code{before} and \code{after}
+arguments. The unit (the meaning of one time step) is implicitly defined
+by the way the \code{time_value} column treats addition and subtraction; for
+example, if the time values are coded as \code{Date} objects, then one time
+step is one day, since \code{as.Date("2022-01-01") + 1} equals \code{as.Date ("2022-01-02")}. Alternatively, the time step can be set explicitly using
+the \code{time_step} argument (which if specified would override the default
+choice based on \code{time_value} column). If there are not enough time steps
+available to complete the window at any given reference time, then
+\verb{epi_slide_*()} will fail; it requires a complete window to perform the
+computation. For a centrally-aligned slide of \code{n} \code{time_value}s in a
+sliding window, set \code{before = (n-1)/2} and \code{after = (n-1)/2} when the
+number of \code{time_value}s in a sliding window is odd and \code{before = n/2-1}
+and \code{after = n/2} when \code{n} is even.
+
+Sometimes, we want to experiment with various trailing or leading window
+widths and compare the slide outputs. In the (uncommon) case where
+zero-width windows are considered, manually pass both the \code{before} and
+\code{after} arguments in order to prevent potential warnings. (E.g., \code{before=k}
+with \code{k=0} and \code{after} missing may produce a warning. To avoid warnings,
+use \verb{before=k, after=0} instead; otherwise, it looks too much like a
+leading window was intended, but the \code{after} argument was forgotten or
+misspelled.)
 }
 \examples{
 # slide a 7-day trailing sum formula on cases
 jhu_csse_daily_subset \%>\%
   group_by(geo_value) \%>\%
-  epi_slide_sum(cases, new_col_names = "cases_7dsum", names_sep = NULL, before = 6) \%>\%
+  epi_slide_sum(cases, new_col_name = "cases_7dsum", names_sep = NULL, before = 6) \%>\%
   # Remove a nonessential var. to ensure new col is printed
   dplyr::select(geo_value, time_value, cases, cases_7dsum) \%>\%
   ungroup()
diff --git a/man/print.epi_df.Rd b/man/print.epi_df.Rd
index f5749d82..5a232de0 100644
--- a/man/print.epi_df.Rd
+++ b/man/print.epi_df.Rd
@@ -22,20 +22,20 @@
 \method{unnest}{epi_df}(data, ...)
 }
 \arguments{
-\item{x}{The \code{epi_df} object.}
+\item{x}{an \code{epi_df}}
 
 \item{...}{Additional arguments, for compatibility with \code{summary()}.
 Currently unused.}
 
-\item{object}{The \code{epi_df} object.}
+\item{object}{an \code{epi_df}}
 
-\item{.data}{The \code{epi_df} object.}
+\item{.data}{an \code{epi_df}}
 
 \item{.f}{function or formula; see \code{\link[dplyr:group_map]{dplyr::group_modify}}}
 
 \item{.keep}{Boolean; see \code{\link[dplyr:group_map]{dplyr::group_modify}}}
 
-\item{data}{The \code{epi_df} object.}
+\item{data}{an \code{epi_df}}
 }
 \description{
 Print and summary functions for an \code{epi_df} object.