• 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;