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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: 1.1-1
Depends: ggplot2, lattice, mvtnorm, R (≥ 2.15.0)
Suggests: numDeriv, Rsolnp, quadprog, parallel, multcomp, knitr, rmarkdown, MASS, testthat, RBesT
Published: 2023-11-02
Author: Bjoern Bornkamp ORCID iD [aut, cre], Jose Pinheiro [aut], Frank Bretz [aut], Ludger Sandig [aut], Marius Thomas [aut]
Maintainer: Bjoern Bornkamp <bjoern.bornkamp at novartis.com>
License: GPL-3
NeedsCompilation: yes
Materials: ChangeLog
In views: ClinicalTrials, ExperimentalDesign
CRAN checks: DoseFinding results

Documentation:

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

Downloads:

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

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DoseFinding to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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