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-4.7-x86_64)MCPModPack_0.5.zip(r-4.7-arm64)MCPModPack_0.5.zip(r-4.6-x86_64)MCPModPack_0.5.zip(r-4.6-arm64)MCPModPack_0.5.zip(r-4.5-x86_64)
MCPModPack_0.5.tgz(r-4.6-x86_64)MCPModPack_0.5.tgz(r-4.6-arm64)MCPModPack_0.5.tgz(r-4.5-x86_64)MCPModPack_0.5.tgz(r-4.5-arm64)
MCPModPack_0.5.tar.gz(r-4.7-arm64)MCPModPack_0.5.tar.gz(r-4.7-x86_64)MCPModPack_0.5.tar.gz(r-4.6-arm64)MCPModPack_0.5.tar.gz(r-4.6-x86_64)
MCPModPack_0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

cpp

2.48 score 3 stars 1 scripts 294 downloads 12 exports 71 dependencies

Last updated from:e7d8b59f54. Checks:13 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	155
linux-devel-x86_64	NOTE	162
source / vignettes	OK	250
linux-release-arm64	NOTE	171
linux-release-x86_64	NOTE	195
macos-release-arm64	NOTE	117
macos-release-x86_64	NOTE	324
macos-oldrel-arm64	NOTE	142
macos-oldrel-x86_64	NOTE	185
windows-devel-arm64	NOTE	256
windows-devel-x86_64	NOTE	185
windows-release-arm64	NOTE	231
windows-release-x86_64	NOTE	146
windows-oldrel-x86_64	NOTE	128
wasm-release	OK	149

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

Dependencies:askpass base64enc bslib cachem cli commonmark cpp11 data.table devEMF digest dplyr evaluate fastmap flextable fontawesome fontBitstreamVera fontLiberation fontquiver fs gdtools generics glue highr htmltools httpuv jquerylib jsonlite knitr later lifecycle magrittr memoise mime mvtnorm officer openssl otel pillar pkgconfig promises purrr R6 ragg rappdirs Rcpp RcppEigen RcppNumerical rlang rmarkdown sass shiny shinydashboard sourcetools stringi stringr sys systemfonts textshaping tibble tidyr tidyselect tinytex utf8 uuid vctrs 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