Use more the defaults in package docs + move reexports to a single file

R/naniar-package.R

@@ -1,26 +1,17 @@
-#' naniar
-#'
+#' @description
 #' naniar is a package to make it easier to summarise and handle missing values
 #' in R. It strives to do this in a way that is as consistent with tidyverse
 #' principles as possible.  The work is fully discussed at Tierney & Cook (2023)
 #' <doi:10.18637/jss.v105.i07>.
 #'
 #' @name naniar
-#' @docType package
-#' @seealso [add_any_miss()] [add_label_missings()] [add_label_shadow()] [add_miss_cluster()] [add_n_miss()] [add_prop_miss()] [add_shadow()] [add_shadow_shift()] [as_shadow()] [bind_shadow()] [cast_shadow()] [cast_shadow_shift()] [cast_shadow_shift_label()] [draw_key_missing_point()] [gather_shadow()] [geom_miss_point()] [gg_miss_case()] [gg_miss_case_cumsum()] [gg_miss_fct()] [gg_miss_span()] [gg_miss_var()] [gg_miss_var_cumsum()] [gg_miss_which()] [label_miss_1d()] [label_miss_2d()] [label_missings()] [pct_miss_case()] [prop_miss_case()] [pct_miss_var()] [prop_miss_var()] [pct_complete_case()] [prop_complete_case()] [pct_complete_var()] [prop_complete_var()] [miss_prop_summary()] [miss_case_summary()] [miss_case_table()] [miss_summary()] [miss_var_prop()] [miss_var_run()] [miss_var_span()] [miss_var_summary()] [miss_var_table()] [n_complete()] [n_complete_row()] [n_miss()] [n_miss_row()] [pct_complete()] [pct_miss()] [prop_complete()] [prop_complete_row()] [prop_miss()] [prop_miss_row()] [replace_to_na()] [replace_with_na()] [replace_with_na_all()] [replace_with_na_at()] [replace_with_na_if()] [shadow_shift()] [stat_miss_point()] [vis_miss()] [where_na()]
 "_PACKAGE"
 
-#' @import ggplot2
-#' @import rlang
-NULL
-
-#' @importFrom stats median
-#' @importFrom visdat vis_miss
-#' @export
-visdat::vis_miss
-
 ## usethis namespace: start
 #' @importFrom lifecycle deprecated
+#' @import ggplot2
+#' @importFrom stats median
+#' @import rlang
 ## usethis namespace: end
 NULL
 

R/utils.R

@@ -10,6 +10,10 @@ rlang::is_na
 #' @export
 rlang::are_na
 
+#' @importFrom visdat vis_miss
+#' @export
+visdat::vis_miss
+
 #' Group By Helper
 #'
 #' This is a wrapper to facilitate the `grouped_df` S3 method.