Planned changes in next versions: * expand number of supported models for variableImportance and parDepPlot * expand number of supported performance measures for variableImportance --------------------------------------------------------------- Change log: * Version 0.2.5: August 2023 -Fixed documentation issue * Version 0.2.4: March 2016 -Fixed a bug when using adaboost -Allow to adapt ylim when ci==TRUE * Version 0.2.3: June 2015 -Fixed a bug when setting ylab for regression models * Version 0.2.2: May 2015 -Added support for binary predictors with class numeric -Added support for plotting long variable names * Version 0.2.1: March 2015 -Added parameter “logit” to parDepPlot -Improved xlim handling in parDepPlot -Added invisible printing of x and y * Version 0.2.0: December 2014 -Included one extra function: variableImportance -Added additional parameters to parDepPlot: n.pt, robust, rm.outliers, u.quant, l.quant, ci, fact -Bug fix for factors: now only the factor levels are shown in the resulting plot * Version 0.1.0: November 2014 -Package submitted to CRAN with one function: parDepPlot