Flexible Bayesian regression modelling in Stan via brms
This website contains materials that were developed to accompany a series of
workshops held in the Analytics department at Novartis over 2022-2024,
illustrating the utility of the R package brms for solving drug-
development problems. In order to highlight the versatility of that package,
we have developed a collection of case studies covering a diverse set of
clinical and statistical questions that were addressed via Bayesian modelling
with the brms package.
- quarto
- cmdstanr and cmdstan (
cmdstanr::install_cmdstan()) - other R package dependencies (see Imports under the dummy
DESCRIPTIONfile,devtools::install_deps())
Rendering the book from Quarto source can be done using the provided Makefile:
make website QUARTO_PROFILE=publicThe code is licensed under GPL-2 (LICENSE)
The book itself is licensed under CC BY 4.0 (docs/public/LICENSE)
