Package: MCPModPack 0.5

Alex Dmitrienko

MCPModPack: Simulation-Based Design and Analysis of Dose-Finding Trials

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) <doi:10.1111/j.1541-0420.2005.00344.x>).

Authors:Alex Dmitrienko [aut, cre], Alun Bedding [ctb], John Cook [ctb]

MCPModPack_0.5.tar.gz
MCPModPack_0.5.zip(r-4.5)MCPModPack_0.5.zip(r-4.4)MCPModPack_0.5.zip(r-4.3)
MCPModPack_0.5.tgz(r-4.4-x86_64)MCPModPack_0.5.tgz(r-4.4-arm64)MCPModPack_0.5.tgz(r-4.3-x86_64)MCPModPack_0.5.tgz(r-4.3-arm64)
MCPModPack_0.5.tar.gz(r-4.5-noble)MCPModPack_0.5.tar.gz(r-4.4-noble)
MCPModPack_0.5.tgz(r-4.4-emscripten)MCPModPack_0.5.tgz(r-4.3-emscripten)
MCPModPack.pdf |MCPModPack.html✨
MCPModPack/json (API)

# Install 'MCPModPack' in R:

install.packages('MCPModPack', repos = c('https://medianasoft.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/medianasoft/mcpmodpack/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

binary - Example data set with a binary endpoint
count - Example data set with a count endpoint
normal - Example data set with a continuous endpoint

On CRAN:

12 exports 1 stars 0.84 score 59 dependencies 2 scripts 225 downloads

Last updated 1 years agofrom:e7d8b59f54. Checks:OK: 1 NOTE: 8. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 13 2024
R-4.5-win-x86_64	NOTE	Sep 13 2024
R-4.5-linux-x86_64	NOTE	Sep 13 2024
R-4.4-win-x86_64	NOTE	Sep 13 2024
R-4.4-mac-x86_64	NOTE	Sep 13 2024
R-4.4-mac-aarch64	NOTE	Sep 13 2024
R-4.3-win-x86_64	NOTE	Sep 13 2024
R-4.3-mac-x86_64	NOTE	Sep 13 2024
R-4.3-mac-aarch64	NOTE	Sep 13 2024

Exports:AnalysisApp AnalysisReport ComputeDRFunctionParameters EvaluateDRFunction GenerateAnalysisReport GenerateSimulationReport MCPModAnalysis MCPModSimulation SimulationApp SimulationReport TestDoseResponseFunction TestFindTargetDose

Dependencies:askpass base64enc bslib cachem cli commonmark cpp11 crayon data.table devEMF digest evaluate fastmap flextable fontawesome fontBitstreamVera fontLiberation fontquiver fs gdtools glue highr htmltools httpuv jquerylib jsonlite knitr later lifecycle magrittr memoise mime mvtnorm officer openssl promises R6 ragg rappdirs Rcpp RcppEigen RcppNumerical rlang rmarkdown sass shiny shinydashboard sourcetools sys systemfonts textshaping tinytex uuid withr xfun xml2 xtable yaml zip

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Design and analysis of dose-finding trials	MCPModPack-package MCPModPack TestDoseResponseFunction TestFindTargetDose
Creation of a Shiny-based interface to perform an MCPMod analysis of a dose-finding trial	AnalysisApp
Generation of a Word-based summary of MCPMod analysis results	AnalysisReport GenerateAnalysisReport
Example data set with a binary endpoint	binary
Example data set with a count endpoint	count
MCPMod-based analysis of dose-finding clinical trials with normally distributed, binary and count endpoints	MCPModAnalysis
MCPMod-based simulation of dose-finding trial designs	ComputeDRFunctionParameters EvaluateDRFunction MCPModSimulation
Example data set with a continuous endpoint	normal
Creation of a Shiny-based interface to perform an MCPMod-based simulation of dose-finding trial designs	SimulationApp
Generation of a Word-based summary of MCPMod simulation results	GenerateSimulationReport SimulationReport