• generic implementation of component-wise functional gradient boosting in mboost_fit, specialized code for linear, additive and interaction models removed
• new families available for ordinal, expectile and censored regression
• computations potentially based on package Matrix (reduces memory usage)
• various speed improvements
• added interface to extract selected base-learners (selected())
• added interface for parallel computations in cvrisk with arbitrary packages (e.g. multicore, snow)
• added "which" argument in predict and coef functions and improved usability of "which" in plot-function. Users can specify "which" as numeric value or as a character string
• added function cv() to generate matrices for k-fold cross-validation, subsampling and bootstrap
• new function stabsel() for stability selection with error control
• added function model.weights() to extract the weights
• added interface to expand model by increasing mstop in model[mstop]
• alternative definition of degrees of freedom available
• Interface changes: • class definition / Family() arguments changed • changed behavior of subset method (model[mstop]). Object is directly altered and not duplicated • argument "center" in bols replaced with "intercept" • argument "z" in base-learners replaced with "by" • bns and bss deprecated;