Welcome
This book provides examples of exposure-response analysis with Bayesian methods.
Install necessary packages
The examples utilizes BayesERtools
You can install the package as follows:
install.packages ('BayesERtools' )# devtools::install_github("genentech/BayesERtools") # development version
Quick Example
library (BayesERtools)library (dplyr)library (ggplot2)theme_set (theme_bw (base_size = 12 ))# Data data (d_sim_binom_cov)<- |> mutate (AUCss_1000 = AUCss / 1000 ) |> filter (AETYPE == "hgly2" )# Fit a model <- dev_ermod_bin (data = df_er_ae_hgly2,var_resp = "AEFLAG" ,var_exposure = "AUCss_1000" # Goodness-of-fit plot plot_er_gof (ermod, var_group = "Dose_mg" , show_coef_exp = TRUE ) * coord_transform (x = "log10" ) * scale_x_continuous (breaks = xgxr:: xgx_breaks_log10,minor_breaks = xgxr:: xgx_minor_breaks_log10
Note for developer
Run usethis::use_tidy_style(strict = FALSE) before committing to ensure that the code is formatted appropriately.
Session info
Show the code
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setting value
version R version 4.5.2 (2025-10-31)
os macOS Tahoe 26.5.1
system aarch64, darwin20
ui X11
language (EN)
collate C.UTF-8
ctype C.UTF-8
tz America/Los_Angeles
date 2026-06-29
pandoc 3.10 @ /opt/homebrew/bin/ (via rmarkdown)
quarto 1.9.38 @ /Applications/quarto/bin/quarto
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[1] /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/library
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