Fits 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. Longitudinal dose-response modeling is also supported in a Bayesian model averaging framework as outlined in Payne, Ray, and Thomann (2024) <doi:10.1080/10543406.2023.2292214>. 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: | 3.2.0 |
| Imports: | coda, dplyr (≥ 1.0.0), ellipsis (≥ 0.3), ggplot2 (≥ 3.0), graphics, purrr, rootSolve, rjags (≥ 4-8), rlang (≥ 0.4.5), stats, tidyr (≥ 1.0.2), tidyselect (≥ 1.2) |
| Suggests: | testthat (≥ 3.0), fs (≥ 1.5), knitr, rmarkdown, tibble, spelling |
| Published: | 2024-12-19 |
| DOI: | 10.32614/CRAN.package.dreamer |
| Author: | Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph] |
| Maintainer: | Richard Daniel Payne <paynestatistics at gmail.com> |
| BugReports: | https://github.com/rich-payne/dreamer/issues |
| License: | MIT + file LICENSE |
| URL: | https://rich-payne.github.io/dreamer/, https://github.com/rich-payne/dreamer |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | dreamer results |
| Reference manual: | dreamer.pdf |
| Vignettes: |
dreamer (source, R code) dreamer Methods (source, R code) |
| Package source: | dreamer_3.2.0.tar.gz |
| Windows binaries: | r-devel: dreamer_3.2.0.zip, r-release: dreamer_3.2.0.zip, r-oldrel: dreamer_3.2.0.zip |
| macOS binaries: | r-release (arm64): dreamer_3.2.0.tgz, r-oldrel (arm64): dreamer_3.2.0.tgz, r-release (x86_64): dreamer_3.2.0.tgz, r-oldrel (x86_64): dreamer_3.2.0.tgz |
| Old sources: | dreamer archive |
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