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", "1.1.0")



Attach the package and use:
library("BayesianMCPMod")
Maintained by
Stephan Wojciekowski
[Scholar Profile | Author Map]
First Published: 2024-01-08
Latest Update: 2024-01-08
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 1.1.0, https://cran.r-project.org/web/packages/BayesianMCPMod. Accessed 03 May. 2025.
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)
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
04/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/01Downloads for BayesianMCPMod02468101214161820TrendBars

Today's Hot Picks in Authors and Packages

nlsem  
Fitting Structural Equation Mixture Models
Estimation of structural equation models with nonlinear effects and underlying nonnormal distributi ...
Download / Learn more Package Citations See dependency  
grabsampling  
Probability of Detection for Grab Sample Selection
Functions for obtaining the probability of detection, for grab samples selection by using two differ ...
Download / Learn more Package Citations See dependency  
farrell  
Interactive Interface to Data Envelopment Analysis Modeling
Allows the user to execute interactively radial data envelopment analysis models. The user has the a ...
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  
mlr3fselect  
Feature Selection for 'mlr3'
Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3 ...
Download / Learn more Package Citations See dependency  
TestDesign  
Optimal Test Design Approach to Fixed and Adaptive Test Construction
Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (201 ...
Download / Learn more Package Citations See dependency  

24,142

R Packages

207,311

Dependencies

65,312

Author Associations

24,143

Publication Badges

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