_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-mboost 2.9-11
Propagated dependencies: r-lattice@0.22-7 r-matrix@1.7-3 r-nnls@1.6 r-partykit@1.2-24 r-quadprog@1.5-8 r-stabs@0.6-4 r-survival@3.8-3
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/boost-R/mboost
Licenses: GPL 2
Synopsis: Model-based boosting
Description:

This package provides a 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.

Total results: 1