Suite of tools that facilitate exposure-response analysis using Bayesian methods. The package provides a streamlined workflow for fitting types of models that are commonly used in exposure-response analysis - linear and Emax for continuous endpoints, logistic linear and logistic Emax for binary endpoints, as well as performing simulation and visualization. Learn more about the workflow at <https://genentech.github.io/BayesERbook/>.
Version: 0.2.3 Depends: R (≥ 4.1) Imports: dplyr, tidyr, purrr, ggplot2, gt, cli, rlang, rstanarm, rstanemax (≥ 0.1.9), loo, tidybayes, posterior Suggests: testthat (≥ 3.0.0), covr, knitr, rmarkdown, rstan, htmltools, digest, ggforce, xgxr, scales, readr, bayestestR, patchwork, projpred, rsample, yardstick Published: 2025-06-16 DOI: 10.32614/CRAN.package.BayesERtools Author: Kenta Yoshida [aut, cre], François Mercier [aut], Danielle Navarro [aut], Genentech, Inc. [cph] Maintainer: Kenta Yoshida <yoshida.kenta.6 at gmail.com> License: Apache License 2.0 URL: https://genentech.github.io/BayesERtools/, https://genentech.github.io/BayesERbook/ NeedsCompilation: no Materials: README NEWS CRAN checks: BayesERtools results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BayesERtools to link to this page.
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