• glmboost(..., center = TRUE) now also centers columns of the design matrix corresponding to contrasts of factors when an intercept term is present leading to faster risk minimization in these cases.
• coef.glmboost: New argument off2int = TRUE adds the offset to the intercept. In addition, the intercept term is now adjusted for centered covariates.
• check for infinite residuals in mboost_fit(). Especially for family = Poisson(), something like boost_control(nu = 0.01) fixes this problem.
• "by" (in bols() and bbs()) can now handle factors with more than two levels
• improved plot.mboost() for varying coefficients
• minor improvements in documentation