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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 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