Planned changes in next versions:

* expand number of supported models for variableImportance and parDepPlot
* expand number of supported performance measures for variableImportance

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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

