Other packages > Find by keyword >

BayesianMCPMod  

Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod
View on CRAN: Click here


Download and install BayesianMCPMod package within the R console
Install from CRAN:
install.packages("BayesianMCPMod")

Install from Github:
library("remotes")
install_github("cran/BayesianMCPMod")

Install by package version:
library("remotes")
install_version("BayesianMCPMod", "1.2.0")



Attach the package and use:
library("BayesianMCPMod")
Maintained by
Stephan Wojciekowski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-08
Latest Update: 2025-03-07
Description:
Bayesian MCPMod (Fleischer et al. (2022) ) is an innovative method that improves the traditional MCPMod by systematically incorporating historical data, such as previous placebo group data. This R package offers functions for simulating, analyzing, and evaluating Bayesian MCPMod trials with normally distributed endpoints. It enables the assessment of trial designs incorporating historical data across various true dose-response relationships and sample sizes. Robust mixture prior distributions, such as those derived with the Meta-Analytic-Predictive approach (Schmidli et al. (2014) ), can be specified for each dose group. Resulting mixture posterior distributions are used in the Bayesian Multiple Comparison Procedure and modeling steps. The modeling step also includes a weighted model averaging approach (Pinheiro et al. (2014) ). Estimated dose-response relationships can be bootstrapped and visualized.
How to cite:
Stephan Wojciekowski (2024). BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod. R package version 1.2.0, https://cran.r-project.org/web/packages/BayesianMCPMod. Accessed 22 Sep. 2026.
Previous versions and publish date:
1.0.0 (2024-01-08 17:50), 1.0.1 (2024-04-05 15:53), 1.0.2 (2025-02-06 17:10), 1.1.0 (2025-03-07 20:00), 1.2.0 (2025-08-28 23:20), 1.3.0 (2026-02-23 14:00), 1.3.1 (2026-02-25 22:20), (2026-07-09 07:58)
Other packages that cited BayesianMCPMod R package
View BayesianMCPMod citation profile
Other R packages that BayesianMCPMod depends, imports, suggests or enhances
Complete documentation for BayesianMCPMod
Functions, R codes and Examples using the BayesianMCPMod R package
Some associated functions: assessDesign . getBootstrapQuantiles . getContr . getCritProb . getESS . getModelFits . getPosterior . performBayesianMCP . performBayesianMCPMod . plot.modelFits . predict.modelFits . simulateData . 
Some associated R codes: BMCPMod.R . bootstrapping.R . modelling.R . plot.R . posterior.R . s3methods.R . simulation.R .  Full BayesianMCPMod package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

Countr  
Flexible Univariate Count Models Based on Renewal Processes
Flexible univariate count models based on renewal processes. The models may include covariates and ...
Download / Learn more Package Citations See dependency  
spider  
Species Identity and Evolution in R
Analysis of species limits and DNA barcoding data. Included are functions for generating important s ...
Download / Learn more Package Citations See dependency  
heatmaply  
Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'
Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
cnum  
Chinese Numerals Processing
Chinese numerals processing in R, such as conversion between Chinese numerals and Arabic numerals a ...
Download / Learn more Package Citations See dependency  
jointseg  
Joint Segmentation of Multivariate (Copy Number) Signals
Methods for fast segmentation of multivariate signals into piecewise constant profiles and for gene ...
Download / Learn more Package Citations See dependency  

28,720

R Packages

247,686

Dependencies

75,677

Author Associations

28,721

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA