dreamer: Dose Response Models for Bayesian Model Averaging

Fits (longitudinal) dose-response models utilizing a Bayesian model averaging approach as outlined in Gould (2019) <doi:10.1002/bimj.201700211> for both continuous and binary responses. Functions for plotting and calculating various posterior quantities (e.g. posterior mean, quantiles, probability of minimum efficacious dose, etc.) are also implemented. Copyright Eli Lilly and Company (2019).

Version: 3.0.0
Imports: coda, dplyr (≥ 1.0.0), ggplot2, graphics, purrr, rootSolve, rjags (≥ 4-8), rlang (≥ 0.4.5), stats, tidyr (≥ 1.0.2), tidyselect (≥ 1.1)
Suggests: testthat (≥ 3.0), fs (≥ 1.5), knitr, rmarkdown, tibble, spelling
Published: 2021-08-20
Author: Richard Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph]
Maintainer: Richard Payne <paynestatistics at gmail.com>
BugReports: https://github.com/rich-payne/dreamer/issues
License: MIT + file LICENSE
URL: https://github.com/rich-payne/dreamer
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: dreamer results

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Reference manual: dreamer.pdf
Vignettes: dreamer
Package source: dreamer_3.0.0.tar.gz
Windows binaries: r-devel: dreamer_3.0.0.zip, r-release: dreamer_3.0.0.zip, r-oldrel: dreamer_3.0.0.zip
macOS binaries: r-release (arm64): dreamer_3.0.0.tgz, r-release (x86_64): dreamer_3.0.0.tgz, r-oldrel: dreamer_3.0.0.tgz

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