Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
copied from cf-post-staging / r-mboost
conda install conda-forge::r-mboostconda install conda-forge/label/cf201901::r-mboostconda install conda-forge/label/cf202003::r-mboostconda install conda-forge/label/gcc7::r-mboost