diff --git a/R/tidyMS_R6_Modelling.R b/R/tidyMS_R6_Modelling.R
index 0ad4a6ba..446ef680 100644
--- a/R/tidyMS_R6_Modelling.R
+++ b/R/tidyMS_R6_Modelling.R
@@ -2,7 +2,7 @@
 #' @family modelling
 #' @export
 #' @keywords internal
-#' @example
+#' @examples
 #' mod <- build_models(model = " ~ Treatment * Background", weight_missing = 1)
 #' stopifnot(dim(mod$modelDF) == c(10,9))
 #'
@@ -26,7 +26,7 @@ build_models <- function(model = c("factors", "interaction"), Nprot = 10, with_m
 #' @family modelling
 #' @export
 #' @keywords internal
-#' @example path.R
+#' @examples
 #' m <- make_model()
 make_model <- function(model = c("factors", "interaction")){
   mod <- build_models(model = model, Nprot = 1, with_missing = FALSE)
diff --git a/R/tidyMS_missigness_V2.R b/R/tidyMS_missigness_V2.R
index b25fd00c..4cdb36f5 100644
--- a/R/tidyMS_missigness_V2.R
+++ b/R/tidyMS_missigness_V2.R
@@ -36,7 +36,7 @@ MissingHelpers <- R6::R6Class(
     config = NULL,
     #' @field prob quantile of groups with one observed value to estimate LOD
     prob = 0.5,
-    #' @field keep stats which might be time consuming to compute
+    #' @field stats data.frame with group statistics
     stats = NULL,
     #' @field weighted should we weight the LOD
     weighted = TRUE,
@@ -54,29 +54,45 @@ MissingHelpers <- R6::R6Class(
       self$prob = prob
       self$weighted = weighted
     },
+    #' @description
+    #' get data.frame with statistics
+    #' @return data.frame
     get_stats = function(){
       if (is.null(self$stats)) {
         self$stats = prolfqua::summarize_stats_factors(self$data, self$config)
       }
       return(self$stats)
     },
+    #' @description
+    #' determine limit of detection
+    #' computes quantile of abundances in groups with a single observation
+    #' @return integer LOD
     get_LOD = function(){
       LOD <- self$get_stats() |> dplyr::filter(nrMeasured == 1) |>
         dplyr::summarize(LOD = quantile(meanAbundance, probs = self$prob ,na.rm = TRUE)) |>
         pull()
       return(LOD)
     },
+    #' @description
+    #' compute group averages using weighted lod
+    #'
     impute_weighted_lod = function(){
       toimp <- self$get_stats()
       toimp$meanAbundanceZero <- ifelse(is.na(toimp$meanAbundance), 0, toimp$meanAbundance)
       impDat <- toimp |> mutate(meanAbundanceImp = (.data$nrMeasured * .data$meanAbundanceZero + .data$nrNAs * self$get_LOD()) / .data$nrReplicates  )
       return(impDat)
     },
+    #' @description
+    #' if group average absent substitute with LOD
+    #'
     impute_lod = function(){
       toimp <- self$get_stats()
       toimp$meanAbundanceImp <- ifelse(is.na(toimp$meanAbundance), self$get_LOD(), toimp$meanAbundance)
       return(toimp)
     },
+    #' @description
+    #' compute pooled var per protein
+    #' @param prob prob of sd from proteins where it can be computed
     get_poolvar = function(prob = 0.75) {
       if (self$weighted) {
         impDat <- self$impute_weighted_lod()
@@ -105,7 +121,7 @@ MissingHelpers <- R6::R6Class(
     #' get contrast estimates
     #' @param Contrasts named array with contrasts
     get_contrast_estimates = function(
-      Contrasts
+    Contrasts
     ){
       if (self$weighted) {
         lt <- self$impute_weighted_lod()
@@ -146,7 +162,11 @@ MissingHelpers <- R6::R6Class(
 
       return(imputed2)
     },
-
+    #' @description
+    #' compute contrasts
+    #' @param Contrasts vector with contrasts
+    #' @param confint compute confint
+    #' @param all return all columns, default FALSE
     get_contrasts = function(Contrasts, confint = 0.95, all = FALSE) {
       imputed <- self$get_contrast_estimates(Contrasts = Contrasts)
       pooled <- self$get_poolvar()
diff --git a/man/MissingHelpers.Rd b/man/MissingHelpers.Rd
index aad5adb7..253751b3 100644
--- a/man/MissingHelpers.Rd
+++ b/man/MissingHelpers.Rd
@@ -44,19 +44,12 @@ mh$get_contrast_estimates(Contrasts)
 
 \item{\code{prob}}{quantile of groups with one observed value to estimate LOD}
 
-\item{\code{keep}}{stats which might be time consuming to compute}
+\item{\code{stats}}{data.frame with group statistics}
 
 \item{\code{weighted}}{should we weight the LOD}
 }
 \if{html}{\out{</div>}}
 }
-\section{Active bindings}{
-\if{html}{\out{<div class="r6-active-bindings">}}
-\describe{
-\item{\code{keep}}{stats which might be time consuming to compute}
-}
-\if{html}{\out{</div>}}
-}
 \section{Methods}{
 \subsection{Public methods}{
 \itemize{
@@ -98,24 +91,34 @@ initialize
 \if{html}{\out{<a id="method-MissingHelpers-get_stats"></a>}}
 \if{latex}{\out{\hypertarget{method-MissingHelpers-get_stats}{}}}
 \subsection{Method \code{get_stats()}}{
+get data.frame with statistics
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{MissingHelpers$get_stats()}\if{html}{\out{</div>}}
 }
 
+\subsection{Returns}{
+data.frame
+}
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-MissingHelpers-get_LOD"></a>}}
 \if{latex}{\out{\hypertarget{method-MissingHelpers-get_LOD}{}}}
 \subsection{Method \code{get_LOD()}}{
+determine limit of detection
+computes quantile of abundances in groups with a single observation
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{MissingHelpers$get_LOD()}\if{html}{\out{</div>}}
 }
 
+\subsection{Returns}{
+integer LOD
+}
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-MissingHelpers-impute_weighted_lod"></a>}}
 \if{latex}{\out{\hypertarget{method-MissingHelpers-impute_weighted_lod}{}}}
 \subsection{Method \code{impute_weighted_lod()}}{
+compute group averages using weighted lod
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{MissingHelpers$impute_weighted_lod()}\if{html}{\out{</div>}}
 }
@@ -125,6 +128,7 @@ initialize
 \if{html}{\out{<a id="method-MissingHelpers-impute_lod"></a>}}
 \if{latex}{\out{\hypertarget{method-MissingHelpers-impute_lod}{}}}
 \subsection{Method \code{impute_lod()}}{
+if group average absent substitute with LOD
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{MissingHelpers$impute_lod()}\if{html}{\out{</div>}}
 }
@@ -134,10 +138,18 @@ initialize
 \if{html}{\out{<a id="method-MissingHelpers-get_poolvar"></a>}}
 \if{latex}{\out{\hypertarget{method-MissingHelpers-get_poolvar}{}}}
 \subsection{Method \code{get_poolvar()}}{
+compute pooled var per protein
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{MissingHelpers$get_poolvar(prob = 0.75)}\if{html}{\out{</div>}}
 }
 
+\subsection{Arguments}{
+\if{html}{\out{<div class="arguments">}}
+\describe{
+\item{\code{prob}}{prob of sd from proteins where it can be computed}
+}
+\if{html}{\out{</div>}}
+}
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-MissingHelpers-get_contrast_estimates"></a>}}
@@ -160,10 +172,22 @@ get contrast estimates
 \if{html}{\out{<a id="method-MissingHelpers-get_contrasts"></a>}}
 \if{latex}{\out{\hypertarget{method-MissingHelpers-get_contrasts}{}}}
 \subsection{Method \code{get_contrasts()}}{
+compute contrasts
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{MissingHelpers$get_contrasts(Contrasts, confint = 0.95, all = FALSE)}\if{html}{\out{</div>}}
 }
 
+\subsection{Arguments}{
+\if{html}{\out{<div class="arguments">}}
+\describe{
+\item{\code{Contrasts}}{vector with contrasts}
+
+\item{\code{confint}}{compute confint}
+
+\item{\code{all}}{return all columns, default FALSE}
+}
+\if{html}{\out{</div>}}
+}
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-MissingHelpers-clone"></a>}}
diff --git a/man/build_models.Rd b/man/build_models.Rd
index b5e539d2..5a061112 100644
--- a/man/build_models.Rd
+++ b/man/build_models.Rd
@@ -13,6 +13,11 @@ build_models(
 }
 \description{
 build dataframe with models for testing
+}
+\examples{
+mod <- build_models(model = " ~ Treatment * Background", weight_missing = 1)
+stopifnot(dim(mod$modelDF) == c(10,9))
+
 }
 \seealso{
 Other modelling: 
diff --git a/man/make_model.Rd b/man/make_model.Rd
index 133c8e5f..feff53c8 100644
--- a/man/make_model.Rd
+++ b/man/make_model.Rd
@@ -9,6 +9,9 @@ make_model(model = c("factors", "interaction"))
 \description{
 make interaction model for examples
 }
+\examples{
+m <- make_model()
+}
 \seealso{
 Other modelling: 
 \code{\link{Contrasts}},