clinDR: Simulation and Analysis Tools for Clinical Dose Response Modeling

Bayesian and ML Emax model fitting, graphics and simulation for clinical dose response. The summary data from the dose response meta-analyses in Thomas, Sweeney, and Somayaji (2014) <doi:10.1080/19466315.2014.924876> and Thomas and Roy (2016) <doi:10.1080/19466315.2016.1256229> Wu, Banerjee, Jin, Menon, Martin, and Heatherington(2017) <doi:10.1177/0962280216684528> are included in the package. The prior distributions for the Bayesian analyses default to the posterior predictive distributions derived from these references.

Version: 2.2.1
Depends: R (≥ 3.5.0), rstan (≥ 2.17.3)
Imports: foreach, graphics, ggplot2, DoseFinding, stats, utils, parallel, doParallel
Published: 2019-12-17
Author: Neal Thomas ORCID iD [aut, cre], Jing Wu [aut]
Maintainer: Neal Thomas <snthomas99 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: clinDR results

Downloads:

Reference manual: clinDR.pdf
Package source: clinDR_2.2.1.tar.gz
Windows binaries: r-devel: clinDR_2.2.1.zip, r-release: clinDR_2.2.1.zip, r-oldrel: clinDR_2.2.1.zip
macOS binaries: r-release: clinDR_2.2.1.tgz, r-oldrel: clinDR_2.2.1.tgz
Old sources: clinDR archive

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