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: |
2.3.5 |
Depends: |
R (≥ 3.5.0), rstan (≥ 2.17.3), shiny, waiter |
Imports: |
foreach, graphics, ggplot2, DoseFinding, stats, utils, parallel, doParallel, magrittr, purrr, tibble, dplyr, tidyr, glue |
Published: |
2021-04-12 |
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 |
CRAN checks: |
clinDR results |
Documentation:
Downloads:
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