BayesianMCPMod 1.0.2 (06-Feb-2025)

• Addition of new vignette comparing frequentist and Bayesian MCPMod using vague priors
• Extension of getPosterior to allow the input of a fully populated variance-covariance matrix
• Added the non-monotonic model shapes beta and quadratic
• New argument in assessDesign() to skip the Mod part of Bayesian MCPMod
• Additional tests

BayesianMCPMod 1.0.1 (03-Apr-2024)

Re-submission of the ‘BayesianMCPMod’ package
Removed a test that occasionally failed on the fedora CRAN test system
Fixed a bug that would return wrong bootstrapped quantiles in getBootstrappedQuantiles()
Added getBootstrapSamples(), a separate function for bootstrapping samples

Initial release of the 'BayesianMCPMod' package

BayesianMCPMod 1.0.0 (31-Dec-2023)

• Initial release of the 'BayesianMCPMod' package
• Special thanks to Jana Gierse, Bjoern Bornkamp, Chen Yao, Marius Thoma & Mitchell Thomann for their review and valuable comments
• Thanks to Kevin Kunzmann for R infrastructure support and to Frank Fleischer for methodological support