diff --git a/R/mod_boxplot.R b/R/mod_boxplot.R
index a43d2dc..3c82825 100644
--- a/R/mod_boxplot.R
+++ b/R/mod_boxplot.R
@@ -82,13 +82,15 @@ BP <- poc( # nolint
 #' It also includes a set of listings with information about the population, distribution and statistical comparisons.
 #'
 #' @name mod_boxplot
+#' @inheritParams boxplot_server
 #'
 #' @keywords main
 #'
 NULL
 
-#' @describeIn mod_boxplot UI
+#' Boxplot UI function
 #' @param id Shiny ID `[character(1)]`
+#' @keywords developers
 #' @export
 boxplot_UI <- function(id) { # nolint
   # id assert ---- It goes on its own as id is used to provide context to the other assertions
@@ -188,7 +190,8 @@ boxplot_UI <- function(id) { # nolint
   }
 }
 
-#' @describeIn mod_boxplot Server
+#' Boxplot server function
+#' @keywords developers
 #'
 #' @description
 #'
@@ -727,6 +730,8 @@ boxplot_server <- function(id,
 #' Shiny ID of the module receiving the selected subject ID in the data listing. This ID must
 #' be present in the app or be NULL.
 #'
+#' inheritParams boxplot_server
+#'
 #' @name mod_boxplot
 #'
 #' @keywords main
@@ -861,7 +866,8 @@ dataset_info_boxplot <- function(bm_dataset_name, group_dataset_name, ...) {
 
 mod_boxplot <- CM$module(mod_boxplot, check_mod_boxplot, dataset_info_boxplot)
 
-#' @describeIn mod_boxplot Boxplot wrapper when its output is fed into papo module
+#' Boxplot wrapper when its output is fed into the papo module
+#' @keywords main
 #' @export
 mod_boxplot_papo <- function(...) {
   .Deprecated("mod_boxplot_papo", msg = "'mod_boxplot_papo' is no longer required and should be replaced by 'mod_boxplot'. It is still available for compatibility purposes") # nolint
diff --git a/R/mod_corr_hm.R b/R/mod_corr_hm.R
index a65146c..7afc8fb 100644
--- a/R/mod_corr_hm.R
+++ b/R/mod_corr_hm.R
@@ -71,23 +71,21 @@ CH_MSG <- poc( # nolint
 
 #' Correlation Heatmap module
 #'
-#' @param id Shiny ID `[character(1)]`
-#'
 #' @param default_cat Default selected categories
 #'
 #' @param default_par Default selected parameters
 #'
 #' @param default_visit Default selected visits
 #'
-#' @param default_corr_method Name of default correlation method
-#'
 #' @name mod_corr_hm
 #'
 #' @keywords main
 #'
 NULL
 
-#' @describeIn mod_corr_hm UI
+#' Correlation heatmap UI function
+#'
+#' @keywords developers
 #'
 #' @param id `[character(1)]`
 #'
@@ -462,7 +460,9 @@ scatter_plot <- function(df, x_var, y_var) {
 }
 
 
-#' @describeIn mod_corr_hm Server
+#' Correlation heatmap server function
+#'
+#' @keywords developers
 #'
 #' @param id `[character(1)]`
 #'
@@ -862,6 +862,8 @@ ch_subset_data <- function(sel, cat_col, par_col, val_col, vis_col, bm_ds, subj_
 #'
 #' @name mod_corr_hm
 #'
+#' @inheritParams corr_hm_server
+#'
 #' @keywords main
 #'
 #' @export
diff --git a/R/mod_forest.R b/R/mod_forest.R
index 8c342ff..ccd66c3 100644
--- a/R/mod_forest.R
+++ b/R/mod_forest.R
@@ -99,15 +99,16 @@ FP_MSG <- poc(
 
 #' Forest plot module
 #'
-#' @param id Shiny ID `[character(1)]`
-#'
 #' @name mod_forest
+#' @inheritParams forest_server
 #'
 #' @keywords main
 #'
 NULL
 
-#' @describeIn mod_forest UI
+#' Forest plot UI function
+#'
+#' @keywords developers
 #'
 #' @param id `[character(1)]`
 #'
@@ -461,7 +462,9 @@ gen_result_table_fun_ <- function(ds, sl, fun, label) {
 gen_result_table_fun <- strict(gen_result_table_fun_)
 
 
-#' @describeIn mod_forest Server
+#' Forest plot server function
+#'
+#' @keywords developers
 #'
 #' @param id `[character(1)]`
 #'
diff --git a/R/mod_lineplot.R b/R/mod_lineplot.R
index fb4b1d5..96fdafa 100644
--- a/R/mod_lineplot.R
+++ b/R/mod_lineplot.R
@@ -97,8 +97,9 @@ LP_CNT <- poc(
 
 # UI and server functions
 
-#' @describeIn mod_lineplot UI
-# NOTE: id documented in lineplot_server
+#' Lineplot UI function
+#' @inheritParams lineplot_server
+#' @keywords developers 
 #' @export
 lineplot_UI <- function(id) {
   # UI ----
@@ -545,7 +546,7 @@ generate_ref_line_data <- function(df, show_all_ref_vals) {
 }
 
 
-#' @describeIn mod_lineplot Server
+#' Lineplot server function
 #'
 #' @param id Shiny ID `[character(1)]`
 #'
@@ -635,6 +636,8 @@ generate_ref_line_data <- function(df, show_all_ref_vals) {
 #'
 #' Default projection for the Y axis
 #'
+#' @keywords developers
+#'
 #' @export
 #'
 lineplot_server <- function(id,
@@ -1548,6 +1551,8 @@ lineplot_server <- function(id,
 #' Shiny ID of the module receiving the selected subject ID in the single subject listing. This ID must
 #' be present in the app or be NULL.
 #'
+#' @inheritParams lineplot_server
+#'
 #' @name mod_lineplot
 #'
 #' @keywords main
diff --git a/R/mod_roc.R b/R/mod_roc.R
index 5db0c08..2c3bfd4 100644
--- a/R/mod_roc.R
+++ b/R/mod_roc.R
@@ -147,7 +147,7 @@ ROC_PLOT_VAL <- poc(
 
 #' ROC module
 #'
-#' @param id Shiny ID `[character(1)]`
+#' @inheritParams roc_server
 #'
 #' @name mod_roc
 #'
@@ -155,7 +155,9 @@ ROC_PLOT_VAL <- poc(
 #'
 NULL
 
-#' @describeIn mod_roc UI
+#' ROC UI function
+#' @keywords developers
+#' @inheritParams roc_server
 #' @export
 roc_UI <- function(id) {
   # id assert  It goes on its own as id is used to provide context to the other assertions
@@ -354,8 +356,8 @@ roc_UI <- function(id) {
   }
 }
 
-#' @describeIn mod_roc Server
-#'
+#' ROC server function
+#' @keywords developers
 #' @description
 #'
 #' ## Input dataframes:
@@ -387,6 +389,7 @@ roc_UI <- function(id) {
 #' one record per subject
 #'
 #' It expects to contain, at least, `subjid_var`
+#' @param id Shiny ID `[character(1)]`
 #'
 #' @param pred_dataset,resp_dataset,group_dataset `[data.frame()]`
 #'
diff --git a/R/mod_scatter.R b/R/mod_scatter.R
index 663772e..0569fd0 100644
--- a/R/mod_scatter.R
+++ b/R/mod_scatter.R
@@ -86,13 +86,16 @@ SP <- poc( # nolint
 #' It also includes a set of listings with information about the population and the regression and correlation
 #' estimates.
 #'
+#' @inheritParams scatterplot_server
+#'
 #' @name mod_scatterplot
 #'
 #' @keywords main
 #'
 NULL
 
-#' @describeIn mod_scatterplot UI
+#' Scatter plot UI function
+#' @keywords developers
 #' @param id Shiny ID `[character(1)]`
 #' @export
 scatterplot_UI <- function(id) { # nolint
@@ -194,7 +197,9 @@ scatterplot_UI <- function(id) { # nolint
   }
 }
 
-#' @describeIn mod_scatterplot Server
+#' Scatter plot server function
+#'
+#' @keywords developers
 #'
 #' @description
 #'
diff --git a/R/mod_scatter_matrix.R b/R/mod_scatter_matrix.R
index 1b19299..494896c 100644
--- a/R/mod_scatter_matrix.R
+++ b/R/mod_scatter_matrix.R
@@ -68,12 +68,14 @@ SPM <- poc( # nolint
 #'  of grouping. It also includes correlation stats.
 #'
 #' @name mod_scatterplotmatrix
+#' @inheritParams scatterplotmatrix_server
 #'
 #' @keywords main
 #'
 NULL
 
-#' @describeIn mod_scatterplotmatrix UI
+#' Scatter plot matrix UI function
+#' @keywords developers
 #' @param id Shiny ID `[character(1)]`
 #' @export
 scatterplotmatrix_UI <- function(id) { # nolint
@@ -134,8 +136,8 @@ scatterplotmatrix_UI <- function(id) { # nolint
   }
 }
 
-#' @describeIn mod_scatterplotmatrix Server
-#'
+#' Scatter plot matrix server function
+#' @keywords developers
 #' @description
 #'
 #' ## Input dataframes:
diff --git a/R/mod_wfphm.R b/R/mod_wfphm.R
index f46c793..23704f8 100644
--- a/R/mod_wfphm.R
+++ b/R/mod_wfphm.R
@@ -264,7 +264,8 @@ WFPHM_MSG <- pack_of_constants( # nolint
 #'
 NULL
 
-#' @describeIn wfphm_wf UI
+#' Waterfall UI function
+#' @keywords developers
 wfphm_wf_UI <- function(id) { # nolintr
 
   # id assert ---- It goes on its own as id is used to provide context to the other assertions
@@ -311,7 +312,8 @@ wfphm_wf_UI <- function(id) { # nolintr
 }
 
 # nolint start cyclocomp_linter
-#' @describeIn wfphm_wf server
+#' Waterfall server function
+#' @keywords developers
 wfphm_wf_server <- function(id,
                             bm_dataset,
                             group_dataset,
@@ -908,7 +910,8 @@ wfphm_wf_rename_cols <- function(df) {
 #'
 NULL
 
-#' @describeIn wfphm_hmcat UI
+#' Waterfall plus heatmap categorical heatmap UI function
+#' @keywords developers
 wfphm_hmcat_UI <- function(id) { # nolint
 
   # id assert ---- It goes on its own as id is used to provide context to the other assertions
@@ -943,7 +946,8 @@ wfphm_hmcat_UI <- function(id) { # nolint
   )
 }
 
-#' @describeIn wfphm_hmcat server
+#' Waterfall plus heatmap categorical heatmap server function
+#' @keywords developers
 wfphm_hmcat_server <- function(id,
                                dataset,
                                subjid_var,
@@ -1906,9 +1910,7 @@ wfphm_hmpar_subset <- function(
 #'
 #' See the subsections for each of plots particularities
 #'
-#' @param id Shiny ID `[character(1)]`
-#'
-#' @param bm_dataset `[shiny::reactive(data.frame) | shinymeta::metaReactive(data.frame)]`
+#' @param module_id Shiny ID `[character(1)]`
 #'
 #' It expects the following format:
 #'
@@ -1917,8 +1919,6 @@ wfphm_hmpar_subset <- function(
 #'  - `cat_var`, `par_var`, `visit_var` and `subjid_var` columns are factors
 #'  - It contains at least 1 row
 #'
-#' @param group_dataset `[shiny::reactive(data.frame) | shinymeta::metaReactive(data.frame)]`
-#'
 #' It expects the following format:
 #'
 #'  - it contains, at least, the columns specified in the parameters: `subjid_var`
@@ -1939,8 +1939,6 @@ wfphm_hmpar_subset <- function(
 #' named vector containing a set of transformation where the name is the string shown in the selector and the value is
 #' function to be applied according to details section.
 #'
-#' @param tr_choices the names of the entries in tr_mapper
-#'
 #' @param bar_group_palette `[list(palettes)]`
 #'
 #' list of custom palettes to apply to bar_grouping. It receives the values used for grouping and must return a DaVinci
@@ -1980,8 +1978,12 @@ wfphm_hmpar_subset <- function(
 #'
 NULL
 
-#' @describeIn wfphm UI
+#' Waterfall plus heatmap UI function
+#'
+#' @param id Shiny ID `[character(1)]`
+#' @param tr_choices the names of the entries in tr_mapper
 #'
+#' @keywords developers
 #' @export
 
 wfphm_UI <- function(id, tr_choices = names(tr_mapper_def())) { # nolint
@@ -2066,8 +2068,14 @@ wfphm_UI <- function(id, tr_choices = names(tr_mapper_def())) { # nolint
   wfphm_mainpanel
 }
 
-#' @describeIn wfphm server
+#' Waterfall plus heatmap server function
+#' @keywords developers
+#' @param bm_dataset `[shiny::reactive(data.frame) | shinymeta::metaReactive(data.frame)]`
+#' @param group_dataset `[shiny::reactive(data.frame) | shinymeta::metaReactive(data.frame)]`
 #'
+#' @keywords developers
+#' @inheritParams wfphm_UI
+#' @inheritParams mod_wfphm
 #' @export
 wfphm_server <- function(id,
                          bm_dataset,
@@ -2244,7 +2252,6 @@ tr_mapper_def <- function() {
 
 #' @describeIn wfphm dv.manager wrapper for the module
 #'
-#' @param module_id Shiny id
 #' @param bm_dataset_name,group_dataset_name
 #'
 #' The name of the dataset
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 30c9fca..1c88e77 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -18,6 +18,9 @@ reference:
   - title: Mock Applications
   - contents: 
     - has_keyword("mock")
+  - title: For developers
+  - contents: 
+    - has_keyword("developers")
   - title: Additional Documentation
   - subtitle: Lineplot
   - contents: 
diff --git a/man/mod_boxplot.Rd b/man/mod_boxplot.Rd
index 12cbe50..0e48b38 100644
--- a/man/mod_boxplot.Rd
+++ b/man/mod_boxplot.Rd
@@ -2,34 +2,8 @@
 % Please edit documentation in R/mod_boxplot.R
 \name{mod_boxplot}
 \alias{mod_boxplot}
-\alias{boxplot_UI}
-\alias{boxplot_server}
-\alias{mod_boxplot_papo}
 \title{Boxplot module}
 \usage{
-boxplot_UI(id)
-
-boxplot_server(
-  id,
-  bm_dataset,
-  group_dataset,
-  dataset_name = shiny::reactive(character(0)),
-  cat_var = "PARCAT",
-  par_var = "PARAM",
-  value_vars = "AVAL",
-  visit_var = "AVISIT",
-  subjid_var = "SUBJID",
-  default_cat = NULL,
-  default_par = NULL,
-  default_visit = NULL,
-  default_value = NULL,
-  default_main_group = NULL,
-  default_sub_group = NULL,
-  default_page_group = NULL,
-  on_sbj_click = function(x) {
- }
-)
-
 mod_boxplot(
   module_id,
   bm_dataset_name,
@@ -49,21 +23,24 @@ mod_boxplot(
   default_page_group = NULL,
   server_wrapper_func = function(x) list(subj_id = x)
 )
-
-mod_boxplot_papo(...)
 }
 \arguments{
-\item{id}{Shiny ID \verb{[character(1)]}}
+\item{module_id}{\verb{[character(1)]}
 
-\item{bm_dataset, group_dataset}{\verb{[data.frame()]}
+Module Shiny id}
 
-Dataframes as described in the \verb{Input dataframes} section}
+\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
 
-\item{dataset_name}{\verb{[shiny::reactive(*)]}
+Name of the dataset}
 
-a reactive indicating when the dataset has possibly changed its columns}
+\item{receiver_id}{\verb{[character(1)]}
+
+Shiny ID of the module receiving the selected subject ID in the data listing. This ID must
+be present in the app or be NULL.
 
-\item{cat_var, par_var, visit_var, }{\verb{[character(1)]}
+inheritParams boxplot_server}
+
+\item{cat_var, par_var, visit_var}{\verb{[character(1)]}
 
 Columns from \code{bm_dataset} that correspond to the parameter category, parameter and visit}
 
@@ -79,23 +56,6 @@ Column corresponding to subject ID}
 
 Default values for the selectors}
 
-\item{on_sbj_click}{\verb{[function()]}
-
-Function to invoke when a subject is clicked in the single subject listing}
-
-\item{module_id}{\verb{[character(1)]}
-
-Module Shiny id}
-
-\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
-
-Name of the dataset}
-
-\item{receiver_id}{\verb{[character(1)]}
-
-Shiny ID of the module receiving the selected subject ID in the data listing. This ID must
-be present in the app or be NULL.}
-
 \item{server_wrapper_func}{\verb{[function()]}
 
 A function that will be applied to the server returned value. Its default value will work for the current cases.}
@@ -103,41 +63,9 @@ A function that will be applied to the server returned value. Its default value
 \description{
 \code{mod_boxplot} is a Shiny module prepared to display data with boxplot charts with different levels of grouping.
 It also includes a set of listings with information about the population, distribution and statistical comparisons.
-
-\subsection{Input dataframes:}{
-\subsection{bm_dataset}{
-
-It expects a dataset similar to
-https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192 ,
-1 record per subject per parameter per analysis visit.
-
-It must contain, at least, the columns passed in the parameters, \code{subjid_var}, \code{cat_var}, \code{par_var},
-\code{visit_var} and \code{value_vars}. The values of these variables are as described
-in the CDISC standard for the variables USUBJID, PARCAT, PARAM, AVISIT and AVAL.
-}
-
-\subsection{group_dataset}{
-
-It expects a dataset with an structure similar to
-https://www.cdisc.org/kb/examples/adam-subject-level-analysis-adsl-dataset-80283806 ,
-one record per subject.
-
-It must contain, at least, the column passed in the parameter, \code{subjid_var}.
-}
-
-}
 }
 \details{
 \code{mod_boxplot_papo} is a deprecated function that was required to use the jumping feature in combination
 with \code{dv.papo} but is no longer required. The function is still available for compatibility reasons.
 }
-\section{Functions}{
-\itemize{
-\item \code{boxplot_UI()}: UI
-
-\item \code{boxplot_server()}: Server
-
-\item \code{mod_boxplot_papo()}: Boxplot wrapper when its output is fed into papo module
-
-}}
 \keyword{main}
diff --git a/man/mod_corr_hm.Rd b/man/mod_corr_hm.Rd
index 4431a80..50921b0 100644
--- a/man/mod_corr_hm.Rd
+++ b/man/mod_corr_hm.Rd
@@ -2,29 +2,8 @@
 % Please edit documentation in R/mod_corr_hm.R
 \name{mod_corr_hm}
 \alias{mod_corr_hm}
-\alias{corr_hm_UI}
-\alias{corr_hm_server}
 \title{Correlation Heatmap module}
 \usage{
-corr_hm_UI(
-  id,
-  default_cat = NULL,
-  default_par = NULL,
-  default_visit = NULL,
-  default_corr_method = NULL
-)
-
-corr_hm_server(
-  id,
-  bm_dataset,
-  subjid_var = "SUBJID",
-  cat_var = "PARCAT",
-  par_var = "PARAM",
-  visit_var = "AVISIT",
-  value_vars = "AVAL",
-  default_value = NULL
-)
-
 mod_corr_hm(
   module_id,
   bm_dataset_name,
@@ -40,28 +19,13 @@ mod_corr_hm(
 )
 }
 \arguments{
-\item{id}{\verb{[character(1)]}
-
-Shiny ID}
-
-\item{default_cat}{Default selected categories}
-
-\item{default_par}{Default selected parameters}
-
-\item{default_visit}{Default selected visits}
-
-\item{default_corr_method}{Name of default correlation method}
+\item{module_id}{Shiny ID \verb{[character(1)]}
 
-\item{bm_dataset}{\verb{[data.frame()]}
+Module identifier}
 
-An ADBM-like dataset similar in structure to the one in
-\href{https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192}{this example},
-with one record per subject per parameter per analysis visit.
+\item{bm_dataset_name}{\verb{[character(1)]}
 
-It should have, at least, the columns specified by the parameters \code{subjid_var}, \code{cat_var},
-\code{par_var}, \code{visit_var} and \code{value_vars}.
-The semantics of these columns are as described in the CDISC standard for variables
-USUBJID, PARCAT, PARAM, AVISIT and AVAL, respectively.}
+Biomarker dataset name}
 
 \item{subjid_var}{\verb{[character(1)]}
 
@@ -75,27 +39,18 @@ Columns from \code{bm_dataset} that correspond to the parameter category, parame
 
 Columns from \code{bm_dataset} that correspond to values of the parameters}
 
-\item{default_value}{\verb{[character(1)|NULL]}
-
-Default values for the selectors}
+\item{default_cat}{Default selected categories}
 
-\item{module_id}{Shiny ID \verb{[character(1)]}
+\item{default_par}{Default selected parameters}
 
-Module identifier}
+\item{default_visit}{Default selected visits}
 
-\item{bm_dataset_name}{\verb{[character(1)]}
+\item{default_value}{\verb{[character(1)|NULL]}
 
-Biomarker dataset name}
+Default values for the selectors}
 }
 \description{
 Display a heatmap of correlation coefficients (Pearson, Spearman) along with confidence intervals
 and p-values between dataset parameters over a single visit.
 }
-\section{Functions}{
-\itemize{
-\item \code{corr_hm_UI()}: UI
-
-\item \code{corr_hm_server()}: Server
-
-}}
 \keyword{main}
diff --git a/man/mod_forest.Rd b/man/mod_forest.Rd
index b113a39..e52919b 100644
--- a/man/mod_forest.Rd
+++ b/man/mod_forest.Rd
@@ -2,39 +2,8 @@
 % Please edit documentation in R/mod_forest.R
 \name{mod_forest}
 \alias{mod_forest}
-\alias{forest_UI}
-\alias{forest_server}
 \title{Forest plot module}
 \usage{
-forest_UI(
-  id,
-  numeric_numeric_function_names = character(0),
-  numeric_factor_function_names = character(0),
-  default_function = NULL
-)
-
-forest_server(
-  id,
-  bm_dataset,
-  group_dataset,
-  dataset_name = shiny::reactive(character(0)),
-  numeric_numeric_functions = list(),
-  numeric_factor_functions = list(),
-  subjid_var = "SUBJID",
-  cat_var = "PARCAT",
-  par_var = "PARAM",
-  visit_var = "AVISIT",
-  value_vars = "AVAL",
-  default_cat = NULL,
-  default_par = NULL,
-  default_visit = NULL,
-  default_value = NULL,
-  default_var = NULL,
-  default_group = NULL,
-  default_categorical_A = NULL,
-  default_categorical_B = NULL
-)
-
 mod_forest(
   module_id,
   bm_dataset_name,
@@ -59,41 +28,13 @@ mod_forest(
 )
 }
 \arguments{
-\item{id}{\verb{[character(1)]}
-
-Shiny ID}
-
-\item{numeric_numeric_function_names, numeric_factor_function_names}{\verb{[character(1)]}
-
-Vectors of names of functions passed as \code{numeric_numeric_functions} and \code{numeric_factor_functions}
-to \code{forest_server}}
-
-\item{default_function}{\verb{[character(1)]}
-
-Default function}
-
-\item{bm_dataset}{\verb{[data.frame()]}
-
-An ADBM-like dataset similar in structure to the one in
-\href{https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192}{this example},
-with one record per subject per parameter per analysis visit.
-
-It should have, at least, the columns specified by the parameters \code{subjid_var}, \code{cat_var},
-\code{par_var}, \code{visit_var} and \code{value_vars}.
-The semantics of these columns are as described in the CDISC standard for variables
-USUBJID, PARCAT, PARAM, AVISIT and AVAL, respectively.}
-
-\item{group_dataset}{\verb{[data.frame()]}
-
-An ADSL-like dataset similar in structure to the one in
-\href{https://www.cdisc.org/kb/examples/adam-subject-level-analysis-adsl-dataset-80283806}{this example},
-with one record per subject.
+\item{module_id}{Shiny ID \verb{[character(1)]}
 
-It should contain, at least, the column specified by the parameter \code{subjid_var}.}
+Module identifier}
 
-\item{dataset_name}{\verb{[shiny::reactive(*)]}
+\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
 
-A reactive that indicates a possible change in the column structure of any of the two datasets}
+Dataset names}
 
 \item{numeric_numeric_functions, numeric_factor_functions}{\verb{[function(n)]}
 
@@ -131,24 +72,9 @@ Default values for the selectors}
 \item{default_var, default_group, default_categorical_A, default_categorical_B}{\verb{[character(1)|NULL]}
 
 Default values for the selectors}
-
-\item{module_id}{Shiny ID \verb{[character(1)]}
-
-Module identifier}
-
-\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
-
-Dataset names}
 }
 \description{
 Display a hybrid table/forest plot of arbitrary statistics (correlations, odds ratios, ...)
 computed on dataset parameters over a single visit.
 }
-\section{Functions}{
-\itemize{
-\item \code{forest_UI()}: UI
-
-\item \code{forest_server()}: Server
-
-}}
 \keyword{main}
diff --git a/man/mod_lineplot.Rd b/man/mod_lineplot.Rd
index eecabbb..8b66354 100644
--- a/man/mod_lineplot.Rd
+++ b/man/mod_lineplot.Rd
@@ -1,40 +1,9 @@
 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/mod_lineplot.R
-\name{lineplot_UI}
-\alias{lineplot_UI}
-\alias{lineplot_server}
+\name{mod_lineplot}
 \alias{mod_lineplot}
 \title{Line plot module}
 \usage{
-lineplot_UI(id)
-
-lineplot_server(
-  id,
-  bm_dataset,
-  group_dataset,
-  summary_fns = list(Mean = lp_mean_summary_fns, Median = lp_median_summary_fns),
-  subjid_var = "SUBJID",
-  cat_var = "PARCAT",
-  par_var = "PARAM",
-  visit_vars = c("AVISIT"),
-  cdisc_visit_vars = character(0),
-  value_vars = "AVAL",
-  additional_listing_vars = character(0),
-  ref_line_vars = character(0),
-  on_sbj_click = NULL,
-  default_centrality_fn = NULL,
-  default_dispersion_fn = NULL,
-  default_cat = NULL,
-  default_par = NULL,
-  default_val = NULL,
-  default_visit_var = NULL,
-  default_visit_val = NULL,
-  default_main_group = NULL,
-  default_sub_group = NULL,
-  default_transparency = 1,
-  default_y_axis_projection = "Linear"
-)
-
 mod_lineplot(
   module_id,
   bm_dataset_name,
@@ -63,29 +32,18 @@ mod_lineplot(
 )
 }
 \arguments{
-\item{id}{Shiny ID \verb{[character(1)]}}
-
-\item{bm_dataset}{\verb{[data.frame()]}
-
-An ADBM-like dataset similar in structure to the one in
-\href{https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192}{this example},
-with one record per subject per parameter per analysis visit.
+\item{module_id}{Shiny ID \verb{[character(1)]}
 
-It should have, at least, the columns specified by the parameters \code{subjid_var}, \code{cat_var},
-\code{par_var}, \code{visit_vars} and \code{value_vars}.
-The semantics of these columns are as described in the CDISC standard for variables
-USUBJID, PARCAT, PARAM, AVISIT and AVAL, respectively.
+Module identifier}
 
-Optional columns specified by \code{ref_line_vars} should contain the same numeric value for all
-records of the same parameter for any given subject.}
+\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
 
-\item{group_dataset}{\verb{[data.frame()]}
+Dataset names}
 
-An ADSL-like dataset similar in structure to the one in
-\href{https://www.cdisc.org/kb/examples/adam-subject-level-analysis-adsl-dataset-80283806}{this example},
-with one record per subject.
+\item{receiver_id}{\verb{[character(1)]}
 
-It should contain, at least, the column specified by the parameter \code{subjid_var}.}
+Shiny ID of the module receiving the selected subject ID in the single subject listing. This ID must
+be present in the app or be NULL.}
 
 \item{summary_fns}{\verb{[list()]}
 
@@ -128,10 +86,6 @@ Columns from \code{bm_dataset} that will be appended to the single-subject listi
 Columns for \code{bm_dataset} specifying reference values for parameters.
 See \href{../articles/lineplot_reference_values.html}{this article} for more details}
 
-\item{on_sbj_click}{\verb{[function()]}
-
-Function to invoke when a subject is clicked in the single-subject listing}
-
 \item{default_cat, default_par, default_visit_var, default_main_group}{\verb{[character(1)|NULL]}
 
 Default values for the selectors}
@@ -152,29 +106,9 @@ Default values for the selectors}
 \item{default_y_axis_projection}{\verb{["Linear"|"Logarithmic"]}
 
 Default projection for the Y axis}
-
-\item{module_id}{Shiny ID \verb{[character(1)]}
-
-Module identifier}
-
-\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
-
-Dataset names}
-
-\item{receiver_id}{\verb{[character(1)]}
-
-Shiny ID of the module receiving the selected subject ID in the single subject listing. This ID must
-be present in the app or be NULL.}
 }
 \description{
 Display line plots of raw or summary data over time. Summaries include measures of central tendency
 (mean, median) and optional deviation and confidence estimators.
 }
-\section{Functions}{
-\itemize{
-\item \code{lineplot_UI()}: UI
-
-\item \code{lineplot_server()}: Server
-
-}}
 \keyword{main}
diff --git a/man/mod_roc.Rd b/man/mod_roc.Rd
index 703abe4..bce876c 100644
--- a/man/mod_roc.Rd
+++ b/man/mod_roc.Rd
@@ -2,31 +2,8 @@
 % Please edit documentation in R/mod_roc.R
 \name{mod_roc}
 \alias{mod_roc}
-\alias{roc_UI}
-\alias{roc_server}
 \title{ROC module}
 \usage{
-roc_UI(id)
-
-roc_server(
-  id,
-  pred_dataset,
-  resp_dataset,
-  group_dataset,
-  dataset_name = shiny::reactive(character(0)),
-  pred_cat_var = "PARCAT",
-  pred_par_var = "PARAM",
-  pred_value_vars = "AVAL",
-  pred_visit_var = "AVISIT",
-  resp_cat_var = "PARCAT",
-  resp_par_var = "PARAM",
-  resp_value_vars = c("CHG1", "CHG2"),
-  resp_visit_var = "AVISIT",
-  subjid_var = "SUBJID",
-  compute_roc_fn = compute_roc_data,
-  compute_metric_fn = compute_metric_data
-)
-
 mod_roc(
   module_id,
   pred_dataset_name,
@@ -46,15 +23,11 @@ mod_roc(
 )
 }
 \arguments{
-\item{id}{Shiny ID \verb{[character(1)]}}
-
-\item{pred_dataset, resp_dataset, group_dataset}{\verb{[data.frame()]}
-
-Dataframes as described in the \verb{Input dataframes} section}
+\item{module_id}{\verb{[character(1)]}
 
-\item{dataset_name}{\verb{[shiny::reactive(*)]}
+Module identificator}
 
-a reactive indicating when the dataset has possibly changed its columns}
+\item{pred_dataset_name, resp_dataset_name, group_dataset_name}{Name of the dataset}
 
 \item{pred_cat_var, pred_par_var, pred_visit_var, resp_cat_var, resp_par_var, resp_visit_var}{\verb{[character(1)]}
 
@@ -71,53 +44,10 @@ Column corresponding to subject ID}
 \item{compute_roc_fn, compute_metric_fn}{\verb{[function()]}
 
 Functions used to compute the ROC and metric analysis, please view the corresponding vignette for more details.}
-
-\item{module_id}{\verb{[character(1)]}
-
-Module identificator}
-
-\item{pred_dataset_name, resp_dataset_name, group_dataset_name}{Name of the dataset}
 }
 \description{
-\subsection{Input dataframes:}{
-\subsection{pred_dataset}{
-
-It expects a dataset similar to
-https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192 ,
-1 record per subject per parameter per analysis visit
-
-It expects, at least, the columns passed in the parameters, \code{subjid_var}, \code{pred_cat_var}, \code{pred_par_var},
-\code{pred_visit_var} and \code{pred_value_var}. The values of these variables are as described
-in the CDISC standard for the variables USUBJID, PARCAT, PARAM, AVISIT and AVAL.
-}
-
-\subsection{resp_dataset}{
-
-It expects a dataset similar to
-https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192
+ROC module
 
-It expects, at least, the columns passed in the parameters, \code{subjid_var}, \code{resp_cat_var},
-\code{resp_par_var}, \code{resp_visit_var} and \code{resp_value_var}.
-The values of these variables are as described
-in the CDISC standard for the variables USUBJID, PARCAT, PARAM, AVISIT and AVAL.
+Invoke ROC module
 }
-
-\subsection{group_dataset}{
-
-It expects a dataset with an structure similar to
-https://www.cdisc.org/kb/examples/adam-subject-level-analysis-adsl-dataset-80283806 ,
-one record per subject
-
-It expects to contain, at least, \code{subjid_var}
-}
-
-}
-}
-\section{Functions}{
-\itemize{
-\item \code{roc_UI()}: UI
-
-\item \code{roc_server()}: Server
-
-}}
 \keyword{main}
diff --git a/man/mod_scatterplot.Rd b/man/mod_scatterplot.Rd
index 3445de9..ed7a2b4 100644
--- a/man/mod_scatterplot.Rd
+++ b/man/mod_scatterplot.Rd
@@ -2,35 +2,8 @@
 % Please edit documentation in R/mod_scatter.R
 \name{mod_scatterplot}
 \alias{mod_scatterplot}
-\alias{scatterplot_UI}
-\alias{scatterplot_server}
 \title{Scatterplot module}
 \usage{
-scatterplot_UI(id)
-
-scatterplot_server(
-  id,
-  bm_dataset,
-  group_dataset,
-  dataset_name = shiny::reactive(character(0)),
-  cat_var = "PARCAT",
-  par_var = "PARAM",
-  value_vars = "AVAL",
-  visit_var = "AVISIT",
-  subjid_var = "SUBJID",
-  default_x_cat = NULL,
-  default_x_par = NULL,
-  default_x_value = NULL,
-  default_x_visit = NULL,
-  default_y_cat = NULL,
-  default_y_par = NULL,
-  default_y_value = NULL,
-  default_y_visit = NULL,
-  default_group = NULL,
-  default_color = NULL,
-  compute_lm_cor_fn = sp_compute_lm_cor_default
-)
-
 mod_scatterplot(
   module_id,
   bm_dataset_name,
@@ -54,15 +27,13 @@ mod_scatterplot(
 )
 }
 \arguments{
-\item{id}{Shiny ID \verb{[character(1)]}}
-
-\item{bm_dataset, group_dataset}{\verb{[data.frame()]}
+\item{module_id}{\verb{[character(1)]}
 
-Dataframes as described in the \verb{Input dataframes} section}
+Module Shiny id}
 
-\item{dataset_name}{\verb{[shiny::reactive(*)]}
+\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
 
-a reactive indicating when the dataset has possibly changed its columns}
+Name of the dataset}
 
 \item{cat_var, par_var, visit_var}{\verb{[character(1)]}
 
@@ -88,49 +59,11 @@ Default values for the selectors}
 
 Function used to compute the linear regression model and correlation statistics,
 please view the corresponding vignette for more details.}
-
-\item{module_id}{\verb{[character(1)]}
-
-Module Shiny id}
-
-\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
-
-Name of the dataset}
 }
 \description{
 \code{mod_scatterplot} is a Shiny module prepared to display a scatterplot of two biomarkers with different levels of
 grouping.
 It also includes a set of listings with information about the population and the regression and correlation
 estimates.
-
-\subsection{Input dataframes:}{
-\subsection{bm_dataset}{
-
-It expects a dataset similar to
-https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192 ,
-1 record per subject per parameter per analysis visit
-
-It expects, at least, the columns passed in the parameters, \code{subjid_var}, \code{cat_var}, \code{par_var},
-\code{visit_var} and \code{value_var}. The values of these variables are as described
-in the CDISC standard for the variables USUBJID, PARCAT, PARAM, AVISIT and AVAL.
-}
-
-\subsection{group_dataset}{
-
-It expects a dataset with an structure similar to
-https://www.cdisc.org/kb/examples/adam-subject-level-analysis-adsl-dataset-80283806 ,
-one record per subject
-
-It expects to contain, at least, \code{subjid_var}
 }
-
-}
-}
-\section{Functions}{
-\itemize{
-\item \code{scatterplot_UI()}: UI
-
-\item \code{scatterplot_server()}: Server
-
-}}
 \keyword{main}
diff --git a/man/mod_scatterplotmatrix.Rd b/man/mod_scatterplotmatrix.Rd
index d1d2326..c9facd7 100644
--- a/man/mod_scatterplotmatrix.Rd
+++ b/man/mod_scatterplotmatrix.Rd
@@ -2,29 +2,8 @@
 % Please edit documentation in R/mod_scatter_matrix.R
 \name{mod_scatterplotmatrix}
 \alias{mod_scatterplotmatrix}
-\alias{scatterplotmatrix_UI}
-\alias{scatterplotmatrix_server}
 \title{Matrix of scatterplots module}
 \usage{
-scatterplotmatrix_UI(id)
-
-scatterplotmatrix_server(
-  id,
-  bm_dataset,
-  group_dataset,
-  dataset_name = shiny::reactive(character(0)),
-  cat_var = "PARCAT",
-  par_var = "PARAM",
-  value_vars = "AVAL",
-  visit_var = "AVISIT",
-  subjid_var = "SUBJID",
-  default_cat = NULL,
-  default_par = NULL,
-  default_visit = NULL,
-  default_value = NULL,
-  default_main_group = NULL
-)
-
 mod_scatterplotmatrix(
   module_id,
   bm_dataset_name,
@@ -42,17 +21,15 @@ mod_scatterplotmatrix(
 )
 }
 \arguments{
-\item{id}{Shiny ID \verb{[character(1)]}}
-
-\item{bm_dataset, group_dataset}{\verb{[data.frame()]}
+\item{module_id}{\verb{[character(1)]}
 
-Dataframes as described in the \verb{Input dataframes} section}
+Module Shiny id}
 
-\item{dataset_name}{\verb{[shiny::reactive(*)]}
+\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
 
-a reactive indicating when the dataset has possibly changed its columns}
+Name of the dataset}
 
-\item{cat_var, par_var, visit_var, }{\verb{[character(1)]}
+\item{cat_var, par_var, visit_var}{\verb{[character(1)]}
 
 Columns from \code{bm_dataset} that correspond to the parameter category, parameter and visit}
 
@@ -67,47 +44,9 @@ Column corresponding to subject ID}
 \item{default_cat, default_par, default_visit, default_value, default_main_group}{\verb{[character(1)|NULL]}
 
 Default values for the selectors}
-
-\item{module_id}{\verb{[character(1)]}
-
-Module Shiny id}
-
-\item{bm_dataset_name, group_dataset_name}{\verb{[character(1)]}
-
-Name of the dataset}
 }
 \description{
 \code{mod_scatterplotmatrix} is a Shiny module prepared to display data in a matrix of scatterplots with different levels
 of grouping. It also includes correlation stats.
-
-\subsection{Input dataframes:}{
-\subsection{bm_dataset}{
-
-It expects a dataset similar to
-https://www.cdisc.org/kb/examples/adam-basic-data-structure-bds-using-paramcd-80288192 ,
-1 record per subject per parameter per analysis visit.
-
-It must contain, at least, the columns passed in the parameters, \code{subjid_var}, \code{cat_var}, \code{par_var},
-\code{visit_var} and \code{value_var}. The values of these variables are as described
-in the CDISC standard for the variables USUBJID, PARCAT, PARAM, AVISIT and AVAL.
 }
-
-\subsection{group_dataset}{
-
-It expects a dataset with an structure similar to
-https://www.cdisc.org/kb/examples/adam-subject-level-analysis-adsl-dataset-80283806 ,
-one record per subject.
-
-It must contain, at least, the column passed in the parameter, \code{subjid_var}.
-}
-
-}
-}
-\section{Functions}{
-\itemize{
-\item \code{scatterplotmatrix_UI()}: UI
-
-\item \code{scatterplotmatrix_server()}: Server
-
-}}
 \keyword{main}
diff --git a/man/wfphm.Rd b/man/wfphm.Rd
index 6fa164e..43b5e0f 100644
--- a/man/wfphm.Rd
+++ b/man/wfphm.Rd
@@ -2,28 +2,9 @@
 % Please edit documentation in R/mod_wfphm.R
 \name{wfphm}
 \alias{wfphm}
-\alias{wfphm_UI}
-\alias{wfphm_server}
 \alias{mod_wfphm}
 \title{Waterfall heatmap shiny module}
 \usage{
-wfphm_UI(id, tr_choices = names(tr_mapper_def()))
-
-wfphm_server(
-  id,
-  bm_dataset,
-  group_dataset,
-  cat_var = "PARCAT1",
-  par_var = "PARAM",
-  visit_var = "AVISIT",
-  subjid_var = "SUBJID",
-  value_vars = "AVAL",
-  bar_group_palette = list(),
-  cat_palette = list(),
-  tr_mapper = tr_mapper_def(),
-  show_x_ticks = TRUE
-)
-
 mod_wfphm(
   module_id,
   bm_dataset_name,
@@ -40,11 +21,7 @@ mod_wfphm(
 )
 }
 \arguments{
-\item{id}{Shiny ID \verb{[character(1)]}}
-
-\item{tr_choices}{the names of the entries in tr_mapper}
-
-\item{bm_dataset}{\verb{[shiny::reactive(data.frame) | shinymeta::metaReactive(data.frame)]}
+\item{module_id}{Shiny ID \verb{[character(1)]}
 
 It expects the following format:
 \itemize{
@@ -52,9 +29,7 @@ It expects the following format:
 and \code{subjid_var}
 \item \code{cat_var}, \code{par_var}, \code{visit_var} and \code{subjid_var} columns are factors
 \item It contains at least 1 row
-}}
-
-\item{group_dataset}{\verb{[shiny::reactive(data.frame) | shinymeta::metaReactive(data.frame)]}
+}
 
 It expects the following format:
 \itemize{
@@ -63,6 +38,8 @@ It expects the following format:
 \item It contains at least 1 row
 }}
 
+\item{bm_dataset_name, group_dataset_name}{The name of the dataset}
+
 \item{cat_var, par_var, visit_var, subjid_var}{\verb{[character(1)]}
 
 columns used as indicated in each of the subplots}
@@ -91,10 +68,6 @@ function to be applied according to details section.}
 \item{show_x_ticks}{\verb{[logical(1)]}
 
 show x ticks in the parameter heatmap}
-
-\item{module_id}{Shiny id}
-
-\item{bm_dataset_name, group_dataset_name}{The name of the dataset}
 }
 \value{
 \subsection{UI}{
@@ -132,10 +105,6 @@ plot.
 }
 \section{Functions}{
 \itemize{
-\item \code{wfphm_UI()}: UI
-
-\item \code{wfphm_server()}: server
-
 \item \code{mod_wfphm()}: dv.manager wrapper for the module
 
 }}
diff --git a/man/wfphm_hmcat.Rd b/man/wfphm_hmcat.Rd
index 8ed9d0d..fc07de7 100644
--- a/man/wfphm_hmcat.Rd
+++ b/man/wfphm_hmcat.Rd
@@ -2,21 +2,7 @@
 % Please edit documentation in R/mod_wfphm.R
 \name{wfphm_hmcat}
 \alias{wfphm_hmcat}
-\alias{wfphm_hmcat_UI}
-\alias{wfphm_hmcat_server}
 \title{Categorical heatmap component of WFPHM}
-\usage{
-wfphm_hmcat_UI(id)
-
-wfphm_hmcat_server(
-  id,
-  dataset,
-  subjid_var,
-  sorted_x,
-  cat_palette = list(),
-  margin
-)
-}
 \arguments{
 \item{id}{Shiny ID \verb{[character(1)]}}
 
@@ -63,13 +49,6 @@ A list with one entry:
 \description{
 Presents a heatmap plot for categorical variables
 }
-\section{Functions}{
-\itemize{
-\item \code{wfphm_hmcat_UI()}: UI
-
-\item \code{wfphm_hmcat_server()}: server
-
-}}
 \section{Data subsetting:}{
 \itemize{
 \item Allows selecting several columns from all factor or character columns, from now on \strong{category_selection}.
diff --git a/man/wfphm_wf.Rd b/man/wfphm_wf.Rd
index b50c60f..11a640c 100644
--- a/man/wfphm_wf.Rd
+++ b/man/wfphm_wf.Rd
@@ -2,32 +2,19 @@
 % Please edit documentation in R/mod_wfphm.R
 \name{wfphm_wf}
 \alias{wfphm_wf}
-\alias{wfphm_wf_UI}
-\alias{wfphm_wf_server}
 \title{Waterfall component of WFPHM}
-\usage{
-wfphm_wf_UI(id)
-
-wfphm_wf_server(
-  id,
-  bm_dataset,
-  group_dataset,
-  cat_var,
-  par_var,
-  visit_var,
-  subjid_var,
-  value_vars,
-  .default_group_palette = function(x) {
-     pal_get_cat_palette(x,
-    viridisLite::viridis(length(unique(x))))
- },
-  bar_group_palette = list(),
-  margin
-)
-}
 \arguments{
 \item{id}{Shiny ID \verb{[character(1)]}}
 
+\item{dataset}{\verb{[shiny::reactive(data.frame) | shinymeta::metaReactive(data.frame)]}
+
+It expects the following format:
+\itemize{
+\item it contains, at least, the columns specified in the parameters: \code{cat_var}, \code{par_var}, \code{value_vars}, \code{visit_var}
+and \code{subjid_var}
+\item \code{cat_var}, \code{par_var}, \code{visit_var} and \code{subjid_var} columns are factors
+}}
+
 \item{cat_var, par_var, visit_var, subjid_var}{\verb{[character(1)]}
 
 columns used as indicated in the details section}
@@ -45,15 +32,6 @@ grouping}
 \item{margin}{\verb{[numeric(4) | shiny::reactive(numeric(4)) | shinymeta::metaReactive(numeric(4))]}
 
 margin to be used on each of the sides. It must contain four entries named \code{top}, \code{bottom}, \code{left} and \code{right}}
-
-\item{dataset}{\verb{[shiny::reactive(data.frame) | shinymeta::metaReactive(data.frame)]}
-
-It expects the following format:
-\itemize{
-\item it contains, at least, the columns specified in the parameters: \code{cat_var}, \code{par_var}, \code{value_vars}, \code{visit_var}
-and \code{subjid_var}
-\item \code{cat_var}, \code{par_var}, \code{visit_var} and \code{subjid_var} columns are factors
-}}
 }
 \value{
 \subsection{UI}{
@@ -174,11 +152,4 @@ Then a call to \link{bar_D3} is done with the following arguments:
 }
 }
 }
-\section{Functions}{
-\itemize{
-\item \code{wfphm_wf_UI()}: UI
-
-\item \code{wfphm_wf_server()}: server
-
-}}
 \keyword{internal}