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BayesERtools  

Bayesian Exposure-Response Analysis Tools
View on CRAN: Click here


Download and install BayesERtools package within the R console
Install from CRAN:
install.packages("BayesERtools")

Install from Github:
library("remotes")
install_github("cran/BayesERtools")

Install by package version:
library("remotes")
install_version("BayesERtools", "0.2.4")



Attach the package and use:
library("BayesERtools")
Maintained by
Kenta Yoshida
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-10
Latest Update: 2025-06-16
Description:
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/>.
How to cite:
Kenta Yoshida (2025). BayesERtools: Bayesian Exposure-Response Analysis Tools. R package version 0.2.4, https://cran.r-project.org/web/packages/BayesERtools. Accessed 12 Sep. 2026.
Previous versions and publish date:
0.2.0 (2025-02-10 12:30), 0.2.1 (2025-02-12 12:40), 0.2.2 (2025-06-06 22:20), 0.2.3 (2025-06-16 22:20), 0.2.4 (2025-10-02 22:00), 0.2.5 (2026-04-23 19:00), 0.2.6 (2026-06-13 08:10), (2026-07-09 07:58)
Other packages that cited BayesERtools R package
View BayesERtools citation profile
Other R packages that BayesERtools depends, imports, suggests or enhances
Complete documentation for BayesERtools
Functions, R codes and Examples using the BayesERtools R package
Full BayesERtools package functions and examples
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