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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=dreamer to link to this page.
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