Title: Bayesian Hierarchical Models for Basket Trials
Description: Provides functions for the evaluation of basket
trial designs with binary endpoints. Operating characteristics of a
basket trial design are assessed by simulating trial data according to
scenarios, analyzing the data with Bayesian hierarchical models (BHMs), and
assessing decision probabilities based on Go / No-go decision making.
and Neuenschwander et al. (2016) <doi:10.1002/pst.1730>,
as well as a model that combines both approaches are implemented.
Functions are provided to implement Bayesian decision rules as for example
In addition, posterior point estimates (mean/median) and credible intervals
for response rates and some model parameters can be calculated.
For simulated trial data, bias and mean squared errors of posterior
point estimates for response rates can be provided.
Imports: doParallel, foreach, parallel, R2jags

assessing decision probabilities on stratum and trial-level based on Go / No-go decision making.
The package is build for high flexibility regarding decision rules,
number of interim analyses, number of strata, and recruitment.

Suggests: doParallel, parallel, knitr, rmarkdown

Imports: foreach, doRNG, R2jags (>= 0.7-1)

Suggests: doFuture, future, knitr, rmarkdown

Title: Bayesian Hierarchical Poisson Models for Multiple Grouped
Author: Raymond Carragher [aut, cre] (<https://orcid.org/0000-0002-0120-625X>)
Description: Bayesian hierarchical methods for the detection of differences in rates of related outcomes for multiple treatments for clustered observations. Theoretical background for the models is given in Carragher (2017) <https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736866>. The models in this package are extensions for multiple treatments and clusters. This software was developed for the Precision Drug Theraputics: Risk Prediction in Pharmacoepidemiology project as part of a Rutherford Fund Fellowship at Health Data Research (UK), Medical Research Council (UK) award reference MR/S003967/1 (<https://gtr.ukri.org/>). Principal Investigator: Raymond Carragher.