BayesianMCPMod 1.0.2
(06-Feb-2024)
- 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
getBootstrapQuantiles()
- Added getBootstrapSamples(), a separate function for bootstrapping
samples
BayesianMCPMod 1.0.0
(31-Dec-2023)
- Initial release of the ‘BayesianMCPMod’ package
- Special thanks to Jana Gierse, Bjoern Bornkamp, Chen Yao, Marius
Thomas & Mitchell Thomann for their review and valuable
comments
- Thanks to Kevin Kunzmann for R infrastructure support and to Frank
Fleischer for methodological support