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  [aut,
cre],
Jing Wu [aut],
Mike K. Smith [aut] |
| Maintainer: |
Neal Thomas <snthomas99 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
Pharmacokinetics |
| CRAN checks: |
clinDR results |
Documentation:
Downloads:
Reverse dependencies:
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