• new baselearner argument to gamboost allowing to specify difference component-wise base-learners to be used. Currently implemented: "ssp" for smoothing splines (default), "bsp" for B-splines and "ols" for linear models. The latter two haven't been tested yet.
• The dfbase arguments now applies to each covariate and no longer to each column of the design matrix.
• cvrisk() for blackboost() was broken, totally :-(
• centered covariates were returned by glmboost() and gamboost()
• Poisson() used an incorrect offset
• check for y being positive counts when family = "Poisson()"[B
• checks for Poisson() logLik() and AIC() methods
• fire a warning when all u > 0 or u < 0
• update vignette mboost_illustrations