#' @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.
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