diff --git a/DESCRIPTION b/DESCRIPTION
index 313492c..e15756a 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -24,7 +24,7 @@ LazyData: true
 Roxygen: list(markdown = TRUE)
 RoxygenNote: 7.2.3
 Imports:
-    DoseFinding,
+    DoseFinding (>= 1.1-1),
     ggplot2,
     stats,
     RBesT,
diff --git a/R/BMCPMod.R b/R/BMCPMod.R
index e9e6f98..f3f3de6 100644
--- a/R/BMCPMod.R
+++ b/R/BMCPMod.R
@@ -5,9 +5,13 @@
 #' @param n_patients Vector specifying the planned number of patients per dose group
 #' @param mods An object of class "Mods" as specified in the Dosefinding package.
 #' @param prior_list a prior_list object specifying the utilized prior for the different dose groups 
+#' @param sd tbd
 #' @param n_sim number of simulations to be performed
 #' @param alpha_crit_val critical value to be used for the testing (on the probability scale)
 #' @param simple boolean variable, defining whether simplified fit will be applied. Passed to the getModelFits function. Default FALSE.
+#' @param reestimate tbd Default FALSE
+#' @param contr tbd Default NULL
+#' @param dr_means tbd Default NULL
 #' 
 #' @export
 assessDesign <- function (
@@ -98,8 +102,10 @@ assessDesign <- function (
 #' 
 #' @param mods An object of class "Mods" as specified in the Dosefinding package.
 #' @param dose_levels vector containing the different doseage levels.
-#' @param dose_weights Vector specifying weights for the different doses
-#' @param prior_list a prior_list object
+#' @param dose_weights Vector specifying weights for the different doses. Default NULL
+#' @param prior_list a prior_list object. Default NULL
+#' @param sd_posterior tbd. Default NULL
+#' @param se_new_trial tbd. Default NULL
 #' 
 #' @return contr Object of class ‘⁠optContr⁠’. A list containing entries contMat and muMat, and CorrMat. Specified in the Dosefinding package.
 #' 
@@ -196,7 +202,7 @@ getCritProb <- function (
     doses  = dose_levels,
     w      = dose_weights)
   
-  crit_prob <- pnorm(DoseFinding:::critVal(
+  crit_prob <- stats::pnorm(DoseFinding::critVal(
     corMat      = contr$corMat,
     alpha       = alpha_crit_val,
     df          = 0,
@@ -212,7 +218,7 @@ getCritProb <- function (
 #' 
 #' @param posterior_list a getPosterior object
 #' @param contr a getContrMat object, contrast matrix to be used for the testing step.
-#' @param crit_prob a getCritProb object
+#' @param crit_prob_adj a getCritProb object
 #' @param simple boolean variable, defining whether simplified fit will be applied. Passed to the getModelFits function. Default FALSE.
 #' 
 #' @return bmcpmod test result as well as modelling result.
@@ -227,7 +233,7 @@ performBayesianMCPMod <- function (
   
 ) {
   
-  if (class(posterior_list) == "postList") {
+  if (inherits(posterior_list,  "postList")) {
     
     posterior_list <- list(posterior_list)
     
@@ -310,7 +316,7 @@ addSignificance <- function (
 #' 
 #' @param posterior_list a getPosterior object
 #' @param contr a getContrMat object, contrast matrix to be used for the testing step.
-#' @param crit_prob a getCritProb object, specifying the critical value to be used for the testing (on the probability scale)
+#' @param crit_prob_adj a getCritProb object, specifying the critical value to be used for the testing (on the probability scale)
 #' 
 #' @return b_mcp test result 
 #' 
@@ -323,7 +329,7 @@ performBayesianMCP <- function(
   
 ) {
   
-  if (class(posterior_list) == "postList") {
+  if (inherits(posterior_list,  "postList")) {
     
     posterior_list <- list(posterior_list)
     
diff --git a/R/bootstrapping.R b/R/bootstrapping.R
index ec82139..0957703 100644
--- a/R/bootstrapping.R
+++ b/R/bootstrapping.R
@@ -1,10 +1,10 @@
 #' @title getBootstrapQuantiles
 #'
 #' @param model_fits tbd
+#' @param quantiles tbd
 #' @param n_samples tbd
-#' @param alpha tbd
-#' @param avg_fit tbd
 #' @param doses tbd
+#' @param avg_fit tbd
 #'
 #' @return tbd
 #' @export
diff --git a/R/posterior.R b/R/posterior.R
index 2823f6f..599be98 100644
--- a/R/posterior.R
+++ b/R/posterior.R
@@ -3,11 +3,12 @@
 #' 
 #' @description Either the patient level data or both the mu_hat as well as the sd_hat must to be provided.
 #' 
-#' @param data dataframe containing the information of dose and response.
-#' Also a simulateData object can be provided.
 #' @param prior_list prior_list object
+#' @param data dataframe containing the information of dose and response. Default NULL
+#' Also a simulateData object can be provided.
 #' @param mu_hat vector of estimated mean values
-#' @param sd_hat vector of estimated standard deviations.
+#' @param se_hat vector of estimated standard deviations.
+#' @param calc_ess tbd. Default NULL
 #'
 #' @export
 getPosterior <- function(
diff --git a/R/simulation.R b/R/simulation.R
index 15c9149..65330cd 100644
--- a/R/simulation.R
+++ b/R/simulation.R
@@ -10,6 +10,7 @@
 #' @param true_model Default value is NULL.
 #' Assumed true underlying model. Provided via a String. e.g. "emax".
 #' In case of NULL, all dose-response models, included in the mods input parameter will be used.
+#' @param dr_means tbd. Default NULL.
 #' 
 #' @return sim_data one list object, containing patient level simulated data for all assumed true models.
 #' Also providing information about simulation iteration, patient number as well as dosage levels.
diff --git a/man/assessDesign.Rd b/man/assessDesign.Rd
index 9b0d9a9..91e3392 100644
--- a/man/assessDesign.Rd
+++ b/man/assessDesign.Rd
@@ -25,11 +25,19 @@ assessDesign(
 
 \item{prior_list}{a prior_list object specifying the utilized prior for the different dose groups}
 
+\item{sd}{tbd}
+
 \item{n_sim}{number of simulations to be performed}
 
 \item{alpha_crit_val}{critical value to be used for the testing (on the probability scale)}
 
 \item{simple}{boolean variable, defining whether simplified fit will be applied. Passed to the getModelFits function. Default FALSE.}
+
+\item{reestimate}{tbd Default FALSE}
+
+\item{contr}{tbd Default NULL}
+
+\item{dr_means}{tbd Default NULL}
 }
 \description{
 This function performs simulation based trial design evaluations for a set of specified dose-response models
diff --git a/man/getBootstrapQuantiles.Rd b/man/getBootstrapQuantiles.Rd
index 11f88a2..d7f8ecd 100644
--- a/man/getBootstrapQuantiles.Rd
+++ b/man/getBootstrapQuantiles.Rd
@@ -15,13 +15,13 @@ getBootstrapQuantiles(
 \arguments{
 \item{model_fits}{tbd}
 
+\item{quantiles}{tbd}
+
 \item{n_samples}{tbd}
 
 \item{doses}{tbd}
 
 \item{avg_fit}{tbd}
-
-\item{alpha}{tbd}
 }
 \value{
 tbd
diff --git a/man/getContr.Rd b/man/getContr.Rd
index b1185c6..0e64c19 100644
--- a/man/getContr.Rd
+++ b/man/getContr.Rd
@@ -18,9 +18,13 @@ getContr(
 
 \item{dose_levels}{vector containing the different doseage levels.}
 
-\item{dose_weights}{Vector specifying weights for the different doses}
+\item{dose_weights}{Vector specifying weights for the different doses. Default NULL}
 
-\item{prior_list}{a prior_list object}
+\item{prior_list}{a prior_list object. Default NULL}
+
+\item{sd_posterior}{tbd. Default NULL}
+
+\item{se_new_trial}{tbd. Default NULL}
 }
 \value{
 contr Object of class ‘⁠optContr⁠’. A list containing entries contMat and muMat, and CorrMat. Specified in the Dosefinding package.
diff --git a/man/getPosterior.Rd b/man/getPosterior.Rd
index 084d5e8..44e7560 100644
--- a/man/getPosterior.Rd
+++ b/man/getPosterior.Rd
@@ -15,12 +15,14 @@ getPosterior(
 \arguments{
 \item{prior_list}{prior_list object}
 
-\item{data}{dataframe containing the information of dose and response.
+\item{data}{dataframe containing the information of dose and response. Default NULL
 Also a simulateData object can be provided.}
 
 \item{mu_hat}{vector of estimated mean values}
 
-\item{sd_hat}{vector of estimated standard deviations.}
+\item{se_hat}{vector of estimated standard deviations.}
+
+\item{calc_ess}{tbd. Default NULL}
 }
 \description{
 Either the patient level data or both the mu_hat as well as the sd_hat must to be provided.
diff --git a/man/performBayesianMCP.Rd b/man/performBayesianMCP.Rd
index 86ad352..02dd385 100644
--- a/man/performBayesianMCP.Rd
+++ b/man/performBayesianMCP.Rd
@@ -11,7 +11,7 @@ performBayesianMCP(posterior_list, contr, crit_prob_adj)
 
 \item{contr}{a getContrMat object, contrast matrix to be used for the testing step.}
 
-\item{crit_prob}{a getCritProb object, specifying the critical value to be used for the testing (on the probability scale)}
+\item{crit_prob_adj}{a getCritProb object, specifying the critical value to be used for the testing (on the probability scale)}
 }
 \value{
 b_mcp test result
diff --git a/man/performBayesianMCPMod.Rd b/man/performBayesianMCPMod.Rd
index d3ce9a5..6359109 100644
--- a/man/performBayesianMCPMod.Rd
+++ b/man/performBayesianMCPMod.Rd
@@ -11,9 +11,9 @@ performBayesianMCPMod(posterior_list, contr, crit_prob_adj, simple = FALSE)
 
 \item{contr}{a getContrMat object, contrast matrix to be used for the testing step.}
 
-\item{simple}{boolean variable, defining whether simplified fit will be applied. Passed to the getModelFits function. Default FALSE.}
+\item{crit_prob_adj}{a getCritProb object}
 
-\item{crit_prob}{a getCritProb object}
+\item{simple}{boolean variable, defining whether simplified fit will be applied. Passed to the getModelFits function. Default FALSE.}
 }
 \value{
 bmcpmod test result as well as modelling result.
diff --git a/man/simulateData.Rd b/man/simulateData.Rd
index ae01d13..1b55e08 100644
--- a/man/simulateData.Rd
+++ b/man/simulateData.Rd
@@ -30,6 +30,8 @@ Default is 1000}
 \item{true_model}{Default value is NULL.
 Assumed true underlying model. Provided via a String. e.g. "emax".
 In case of NULL, all dose-response models, included in the mods input parameter will be used.}
+
+\item{dr_means}{tbd. Default NULL.}
 }
 \value{
 sim_data one list object, containing patient level simulated data for all assumed true models.