update doc, anchor

insightsengineering · Jun 21, 2024 · a104dd4 · a104dd4
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diff --git a/R/cox_regression.R b/R/cox_regression.R
@@ -44,7 +44,7 @@ control_coxreg <- function(pval_method = c("wald", "likelihood"),
 #' @param x (`list`)\cr result of the Cox regression model fitted by [fit_coxreg_univar()] (for univariate models)
 #'   or [fit_coxreg_multivar()] (for multivariate models).
 #'
-#' @return [tidy()] returns:
+#' @return [broom::tidy()] returns:
 #' * For `summary.coxph` objects,  a `data.frame` with columns: `Pr(>|z|)`, `exp(coef)`, `exp(-coef)`, `lower .95`,
 #'   `upper .95`, `level`, and `n`.
 #' * For `coxreg.univar` objects, a `data.frame` with columns: `effect`, `term`, `term_label`, `level`, `n`, `hr`,

diff --git a/R/utils_split_funs.R b/R/utils_split_funs.R
@@ -5,7 +5,7 @@
 #' Collection of useful functions that are expanding on the core list of functions
 #' provided by `rtables`. See [rtables::custom_split_funs] and [rtables::make_split_fun()]
 #' for more information on how to make a custom split function. All these functions
-#' work with [split_rows_by()] argument `split_fun` to modify the way the split
+#' work with [rtables::split_rows_by()] argument `split_fun` to modify the way the split
 #' happens. For other split functions, consider consulting [`rtables::split_funcs`].
 #'
 #' @seealso [rtables::make_split_fun()]

diff --git a/man/tidy_coxreg.Rd b/man/tidy_coxreg.Rd
diff --git a/man/utils_split_funs.Rd b/man/utils_split_funs.Rd