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 |