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: 2.4.1
Depends: R (≥ 3.5.0), rstan (≥ 2.17.3), shiny
Imports: foreach, graphics, DoseFinding, stats, mvtnorm, utils, parallel, doParallel, ggplot2, tidyr, purrr, tibble, dplyr, glue, waiter
Published: 2023-08-09
DOI: 10.32614/CRAN.package.clinDR
Author: Neal Thomas ORCID iD [aut, cre], Jing Wu [aut], Mike K. Smith [aut]
Maintainer: Neal Thomas <snthomas99 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: Pharmacokinetics
CRAN checks: clinDR results


Reference manual: clinDR.pdf


Package source: clinDR_2.4.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): clinDR_2.4.1.tgz, r-oldrel (arm64): clinDR_2.4.1.tgz, r-release (x86_64): clinDR_2.4.1.tgz, r-oldrel (x86_64): clinDR_2.4.1.tgz
Old sources: clinDR archive

Reverse dependencies:

Reverse suggests: BayesianMCPMod


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