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: |
0.2.4 |
| 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: |
2025-10-02 |
| 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 |