Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
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predict with zero seletced base-learners broken #87
library(mboost)
m = glmboost(speed ~ dist, data = cars, control = boost_control(mstop = 0))
predict(m, type = "response", newdata = cars)
# Error in names(pr) <- nm :
# 'names' attribute [50] must be the same length as the vector [2]
See https://github.com/boost-R/gamboostLSS/issues/48