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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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=clinDR
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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