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: |
0.2.1 |
Depends: |
R (≥ 4.1) |
Imports: |
dplyr, tidyr, purrr, ggplot2, gt, cli, rlang, rstanarm, rstanemax (≥ 0.1.8), loo, tidybayes, bayestestR, posterior |
Suggests: |
testthat (≥ 3.0.0), covr, knitr, rmarkdown, rstan, htmltools, digest, ggforce, xgxr, scales, readr, patchwork, projpred, rsample, yardstick |
Published: |
2025-02-12 |
DOI: |
10.32614/CRAN.package.BayesERtools |
Author: |
Kenta Yoshida
[aut, cre],
François Mercier
[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 |