Added weights_emmeans argument to summarize_ancova()

Author: yurovska

NEWS.md

@@ -6,6 +6,7 @@
 * Refactored `afun_riskdiff()`, `count_occurrences()`, `count_occurrences_by_grade()`, `count_patients_with_event()`, `count_patients_with_flags()`, `count_values()`, `estimate_incidence_rate()`, `h_tab_one_biomarker()`, `summarize_change()`, `summarize_colvars()`, `summarize_patients_exposure_in_cols()`, `survival_time()`, `tabulate_rsp_subgroups()`, `tabulate_survival_subgroups()`, `tabulate_rsp_biomarkers()`, and `tabulate_survival_biomarkers()` to align with new analysis function style.
 * Converted `as_factor_keep_attributes()` to an exported function.
 * Added `denom` parameter to `estimate_proportion()`.
+* Added `weights_emmeans` argument to `summarize_ancova()`.
 
 ### Bug Fixes
 * Fixed bug in `a_count_patients_with_flags()` preventing select custom label and indentation specification formats from being applied.

R/summarize_ancova.R

@@ -38,6 +38,7 @@ NULL
 #'     interaction terms indicated by `"X1 * X2"`.
 #' @param interaction_item (`string` or `NULL`)\cr name of the variable that should have interactions
 #'   with arm. if the interaction is not needed, the default option is `NULL`.
+#' @param weights_emmeans (`string` or `NULL`)\cr argument from [emmeans::emmeans()]
 #'
 #' @return The summary of a linear model.
 #'
@@ -52,7 +53,8 @@ NULL
 h_ancova <- function(.var,
                      .df_row,
                      variables,
-                     interaction_item = NULL) {
+                     interaction_item = NULL,
+                     weights_emmeans = NULL) {
   checkmate::assert_string(.var)
   checkmate::assert_list(variables)
   checkmate::assert_subset(names(variables), c("arm", "covariates"))
@@ -88,7 +90,8 @@ h_ancova <- function(.var,
     # Specify here the group variable over which EMM are desired.
     specs = specs,
     # Pass the data again so that the factor levels of the arm variable can be inferred.
-    data = .df_row
+    data = .df_row,
+    weights = weights_emmeans
   )
 
   emmeans_fit
@@ -117,8 +120,9 @@ s_ancova <- function(df,
                      conf_level,
                      interaction_y = FALSE,
                      interaction_item = NULL,
+                     weights_emmeans = NULL,
                      ...) {
-  emmeans_fit <- h_ancova(.var = .var, variables = variables, .df_row = .df_row, interaction_item = interaction_item)
+  emmeans_fit <- h_ancova(.var = .var, variables = variables, .df_row = .df_row, interaction_item = interaction_item, weights_emmeans = weights_emmeans)
 
   sum_fit <- summary(
     emmeans_fit,
@@ -300,6 +304,7 @@ summarize_ancova <- function(lyt,
                              conf_level,
                              interaction_y = FALSE,
                              interaction_item = NULL,
+                             weights_emmeans = NULL,
                              var_labels,
                              na_str = default_na_str(),
                              nested = TRUE,
@@ -323,6 +328,7 @@ summarize_ancova <- function(lyt,
     extra_args,
     variables = list(variables), conf_level = list(conf_level), interaction_y = list(interaction_y),
     interaction_item = list(interaction_item),
+    weights_emmeans = weights_emmeans,
     ...
   )