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MCPModPack  

Simulation-Based Design and Analysis of Dose-Finding Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MCPModPack", "0.5")



Attach the package and use:
library("MCPModPack")
Maintained by
Alex Dmitrienko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-19
Latest Update: 2023-05-30
Description:
An efficient implementation of the MCPMod (Multiple Comparisons and Modeling) method to support a simulation-based design and analysis of dose-finding trials with normally distributed, binary and count endpoints (Bretz et al. (2005) ).
How to cite:
Alex Dmitrienko (2020). MCPModPack: Simulation-Based Design and Analysis of Dose-Finding Trials. R package version 0.5, https://cran.r-project.org/web/packages/MCPModPack. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2020-03-19 14:20), 0.2 (2020-06-17 15:40), 0.3 (2020-08-03 07:30), 0.4 (2020-12-07 17:00)
Other packages that cited MCPModPack R package
View MCPModPack citation profile
Other R packages that MCPModPack depends, imports, suggests or enhances
Complete documentation for MCPModPack
Functions, R codes and Examples using the MCPModPack R package
Some associated functions: AnalysisApp . AnalysisReport . MCPModAnalysis . MCPModPack-package . MCPModSimulation . SimulationApp . SimulationReport . binary . count . normal . 
Some associated R codes: RcppExports.R .  Full MCPModPack package functions and examples
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