Fix links

R/prop_diff.R

@@ -2,7 +2,7 @@
 #'
 #' @description `r lifecycle::badge("stable")`
 #'
-#' The analysis function [estimate_prop_diff()] creates a layout element to estimate the difference in proportion of
+#' The analysis function [estimate_proportion_diff()] creates a layout element to estimate the difference in proportion of
 #' responders within a studied population. The primary analysis variable, `vars`, is a logical variable indicating
 #' whether a response has occurred for each record. See the `method` parameter for options of methods to use when
 #' constructing the confidence interval of the proportion difference. A stratification variable can be supplied via the

R/summarize_colvars.R

@@ -4,7 +4,7 @@
 #'
 #' The analyze function [summarize_colvars()] uses the statistics function [s_summary()] to analyze variables that are
 #' arranged in columns. The variables to analyze should be specified in the table layout via column splits (see
-#' [split_cols_by()] and [split_cols_by_mutlivar()]) prior to using [summarize_colvars()].
+#' [split_cols_by()] and [split_cols_by_multivar()]) prior to using [summarize_colvars()].
 #'
 #' The function is a minimal wrapper for [rtables::analyze_colvars()], a function typically used to apply different
 #' analysis methods in rows for each column variable. To use the analysis methods as column labels, please refer to