Skip to content

BayesianMCPMod 1.2.0 (28-Aug-2025)

Choose a tag to compare

View all tags
@wojcieko wojcieko released this 28 Aug 20:58
· 86 commits to main since this release
v1.2.0
544d4cc
  • Fixed a bug in performBayesianMCPMod() where the model significance status from the MCP step was sometimes not correctly assigned to the fitted model in the Mod step.
  • Fixed a bug in print.modelFit() where sometimes the coefficients for the fitted model shapes were not printed correctly.
  • Fixed a bug in getMED() where quantile and evidence level could sometimes not be matched due to floating-point precision issues when using bootstrapped quantiles.
  • Changed functions getPosterior(), getCritProb(), and getContr() to accept a covariance matrix instead of a standard deviation vector as argument.
  • Added support for none-zero off-diagonal covariance matrices in the MCP step.
  • Added bootstrapped differences to getBootstrapSamples().
  • Added average MED identification rate as attribute to assessDesign() output.
  • Made the future.apply package optional.
  • Re-worked vignettes and improved the output of print functions.
Assets 2
Loading