Combine diverse evidence across multiple studies to test a high level scientific theory. The methods can also be used as an alternative to a standard meta-analysis.

BayesComm fits Bayesian multivariate binary (probit)
regression models for analysis of ecological communities.

Bayesian multivariate binary (probit) regression
models for analysis of ecological communities.

Functions and Datasets for the book "Bayesian Data Analysis"
Functions for Bayesian Data Analysis, with datasets
from the book "Bayesian data Analysis (second edition)" by
Gelman, Carlin, Stern and Rubin. Not all datasets yet, hopefully
completed soon.

Functions for Bayesian Data Analysis, with datasets from
the book "Bayesian data Analysis (second edition)" by Gelman,
Carlin, Stern and Rubin. Not all datasets yet, hopefully
completed soon.

Bayesian Single-Arm Design with Survival Endpoints
c(person("Chia-Wei", "Hsu", role = c("aut", "cre"),
email = "Chia-Wei.Hsu@stjude.org"),
person("Haitao", "Pan", role = "aut"),
person("Jianrong", "Wu", role = "aut"))
The proposed event-driven approach for Bayesian two-stage single-arm phase II trial design is a novel clinical trial design and can be regarded as an extension of the Simon’s two-stage design with the time-to-event endpoint. This design is motivated by cancer clinical trials with immunotherapy and molecularly targeted therapy, in which time-to-event endpoint is often a desired endpoint.
Chia-Wei Hsu [aut, cre],
Haitao Pan [aut],
Jianrong Wu [aut]

person(given = "Tony",
family = "Pourmohamad",
role = c("aut", "cre"),
email = "tpourmohamad@gmail.com")
Fits Bayesian models to dissolution data sets that can be used for dissolution testing. Currently the package includes the Bayesian models outlined in Pourmohamad et al. (2022) <doi:10.1111/rssc.12535>, but more models may be added over time.

Jaejoon Song, Satoshi Morita, J. Jack Lee
Determines effective sample size of a parametric prior distribution
in Bayesian models. To learn more about Bayesian effective sample size, see: Morita, S., Thall, P. F., & Muller, P. (2008) <https://www.jstor.org/stable/25502095>.