Other packages > Find by keyword >

MCPMod  

Design and Analysis of Dose-Finding Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MCPMod", "1.0-10.1")



Attach the package and use:
library("MCPMod")
Maintained by
Bjoern Bornkamp
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-04-10
Latest Update: 2020-03-09
Description:
Implements a methodology for the design and analysis of dose-response studies that combines aspects of multiple comparison procedures and modeling approaches (Bretz, Pinheiro and Branson, 2005, Biometrics 61, 738-748, ). The package provides tools for the analysis of dose finding trials as well as a variety of tools necessary to plan a trial to be conducted with the MCP-Mod methodology. Please note: The 'MCPMod' package will not be further developed, all future development of the MCP-Mod methodology will be done in the 'DoseFinding' R-package.
How to cite:
Bjoern Bornkamp (2008). MCPMod: Design and Analysis of Dose-Finding Studies. R package version 1.0-10.1, https://cran.r-project.org/web/packages/MCPMod. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-1 (2008-04-10 08:51), 0.1-2 (2008-04-23 11:09), 0.1-3 (2008-05-06 20:45), 0.1-4 (2008-07-11 18:57), 0.1-5 (2008-11-17 12:03), 0.2-1 (2008-12-19 11:55), 0.2-2 (2009-02-03 21:02), 1.0-1 (2009-02-13 14:17), 1.0-2 (2009-03-04 18:53), 1.0-3 (2009-04-27 13:58), 1.0-4 (2009-09-18 22:17), 1.0-5 (2009-10-05 11:11), 1.0-6 (2010-02-09 17:16), 1.0-7 (2010-07-24 19:41), 1.0-8 (2014-11-26 11:57), 1.0-9 (2016-11-24 23:33), 1.0-10 (2017-08-05 19:07)
Other packages that cited MCPMod R package
View MCPMod citation profile
Other R packages that MCPMod depends, imports, suggests or enhances
Complete documentation for MCPMod
Functions, R codes and Examples using the MCPMod R package
Some associated functions: IBS . LP . MCPMod-internal . MCPMod-package . MCPMod . betaMod . biom . critVal . emax . exponential . fullMod . genDFdata . getPars . guesst . linear . linlog . logistic . modelMeans . mvtnorm.control . planMM . plot.LP . plot.MCPMod . plot.fullMod . plot.planMM . plot.powerMM . plotModels . powCalc . powerMM . quadratic . sampSize . sigEmax . 
Some associated R codes: analysisMM.R . planMCPMod.R .  Full MCPMod package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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