[aut,
cre],
Jing Wu [aut]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 |
| Depends: | R (≥ 3.5.0), rstan (≥ 2.17.3) |
| Imports: | foreach, graphics, ggplot2, DoseFinding, stats, utils, parallel, doParallel |
| Published: | 2020-07-01 |
| Author: | Neal Thomas [aut,
cre],
Jing Wu [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 |
| Reference manual: | clinDR.pdf |
| Package source: | clinDR_2.3.tar.gz |
| Windows binaries: | r-devel: clinDR_2.3.zip, r-release: clinDR_2.3.zip, r-oldrel: clinDR_2.3.zip |
| macOS binaries: | r-release: clinDR_2.3.tgz, r-oldrel: clinDR_2.3.tgz |
| Old sources: | clinDR archive |
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