Fix documentation note about links on r-devel (#1299)

# Pull Request

Fixes #1231 

The links are correctly resolved to the package and R CMD check doesn't
complain (with 2024-12-07 r87428 ucrt)

See
insightsengineering/teal#1420 (comment)
for a longer explanation.

---------

Co-authored-by: 27856297+dependabot-preview[bot]@users.noreply.github.com <27856297+dependabot-preview[bot]@users.noreply.github.com>

R/tm_g_forest_rsp.R

@@ -14,7 +14,7 @@
 #'   * `pval`: p-value of the effect.
 #'   Note, the statistics `n_tot`, `or`, and `ci` are required.
 #' @param riskdiff (`list`)\cr if a risk (proportion) difference column should be added, a list of settings to apply
-#'   within the column. See [control_riskdiff()] for details. If `NULL`, no risk difference column will be added.
+#'   within the column. See [tern::control_riskdiff()] for details. If `NULL`, no risk difference column will be added.
 #' @param obj_var_name (`character`)\cr additional text to append to the table title.
 #' @param responders (`character`)\cr values of `aval_var` that are considered to be responders.
 #' @param col_symbol_size (`integer` or `NULL`)\cr column index to be used to determine relative size for

R/tm_t_coxreg.R

@@ -3,7 +3,7 @@
 #' Creates a valid expression to generate a univariable Cox regression analysis.
 #'
 #' @inheritParams template_arguments
-#' @param control (`list`)\cr list of settings for the analysis (see [control_coxreg()]).
+#' @param control (`list`)\cr list of settings for the analysis (see [tern::control_coxreg()]).
 #' @param at (`list` of `numeric`)\cr when the candidate covariate is a `numeric` type variable, use `at`
 #'   to specify the value of the covariate at which the effect should be estimated.
 #' @param append (`logical`)\cr whether the result should be appended to the previous one.

R/tm_t_tte.R

@@ -385,12 +385,12 @@ template_tte <- function(dataname = "ANL",
 #'   pre-selected option for confidence level, each within range of (0, 1).
 #' @param conf_level_survfit ([teal.transform::choices_selected()])\cr object with all available choices and
 #'   pre-selected option for confidence level, each within range of (0, 1).
-#' @param event_desc_var (`character` or [data_extract_spec()])\cr variable name with the event description
-#'   information, optional.
+#' @param event_desc_var (`character` or [teal.transform::data_extract_spec()])\cr variable name with the
+#'   event description information, optional.
 #'
 #' @details
-#' * The core functionality of this module is based on [coxph_pairwise()], [surv_timepoint()], and [surv_time()] from
-#' the `tern` package.
+#' * The core functionality of this module is based on [tern::coxph_pairwise()], [tern::surv_timepoint()],
+#'   and [tern::surv_time()] from the `tern` package.
 #' * The arm and stratification variables are taken from the `parentname` data.
 #' * The following variables are used in the module:
 #'

R/utils.R

@@ -434,7 +434,7 @@ split_col_expr <- function(compare, combine, ref, arm_var) {
 #'
 #' @note uses the regex `\\*|:` to perform the split.
 #'
-#' @return  a [choices_selected()] object.
+#' @return  a [teal.transform::choices_selected()] object.
 #'
 #' @examples
 #' split_choices(choices_selected(choices = c("x:y", "a*b"), selected = all_choices()))