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.">

clinDR: Simulation and Analysis Tools for Clinical Dose Response Modeling (original) (raw)

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
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials:
In views: Pharmacokinetics
CRAN checks: clinDR results

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