DoseFinding: Planning and Analyzing Dose Finding Experiments

The DoseFinding package provides functions for the design and analysis of dose-finding experiments (with focus on pharmaceutical Phase II clinical trials). It provides functions for: multiple contrast tests, fitting non-linear dose-response models (using Bayesian and non-Bayesian estimation), calculating optimal designs and an implementation of the MCPMod methodology (Pinheiro et al. (2014) <doi:10.1002/sim.6052>).

Version: 1.2-1
Imports: ggplot2, lattice, mvtnorm
Suggests: numDeriv, Rsolnp, quadprog, parallel, multcomp, knitr, rmarkdown, MASS, testthat, RBesT, nlme
Published: 2024-08-23
DOI: 10.32614/CRAN.package.DoseFinding
Author: Bjoern Bornkamp ORCID iD [aut], Jose Pinheiro [aut], Frank Bretz [aut], Ludger Sandig [aut], Marius Thomas [aut, cre], Novartis Pharma AG [cph, fnd]
Maintainer: Marius Thomas <marius.thomas at novartis.com>
BugReports: https://github.com/openpharma/DoseFinding/issues
License: GPL-3
URL: https://github.com/openpharma/DoseFinding
NeedsCompilation: yes
Materials: README NEWS
In views: ClinicalTrials, ExperimentalDesign
CRAN checks: DoseFinding results

Documentation:

Reference manual: DoseFinding.pdf
Vignettes: Analysis template MCP-Mod for continuous data (source, R code)
Design and analysis template MCP-Mod for binary data (source, R code)
Frequently Asked Questions for MCP-Mod (source, R code)
Analysis template: MCP-Mod with multiple regimen (source, R code)
Overview DoseFinding package (source, R code)
Sample size template for MCP-Mod for normally distributed data (source, R code)

Downloads:

Package source: DoseFinding_1.2-1.tar.gz
Windows binaries: r-devel: DoseFinding_1.2-1.zip, r-release: DoseFinding_1.2-1.zip, r-oldrel: DoseFinding_1.2-1.zip
macOS binaries: r-release (arm64): DoseFinding_1.2-1.tgz, r-oldrel (arm64): DoseFinding_1.2-1.tgz, r-release (x86_64): DoseFinding_1.2-1.tgz, r-oldrel (x86_64): DoseFinding_1.2-1.tgz
Old sources: DoseFinding archive

Reverse dependencies:

Reverse depends: MCPModGeneral, TestingSimilarity
Reverse imports: BayesianMCPMod, clinDR, dosedesignR, LRcontrast, MCPModBC, uniReg
Reverse suggests: MCPModPack

Linking:

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