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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-staging / r-mboost
Type Size Name Uploaded Downloads Labels
conda 2.2 MB | win-64/r-mboost-2.9_11-r43heeb0ed9_0.conda  6 months and 22 days ago 446 main
conda 2.2 MB | win-64/r-mboost-2.9_11-r44heeb0ed9_0.conda  6 months and 22 days ago 445 main
conda 2.2 MB | osx-64/r-mboost-2.9_11-r44h199b6f9_0.conda  6 months and 22 days ago 377 main
conda 2.2 MB | osx-64/r-mboost-2.9_11-r43h199b6f9_0.conda  6 months and 22 days ago 360 main
conda 2.2 MB | linux-64/r-mboost-2.9_11-r43h2b5f3a1_0.conda  6 months and 22 days ago 1026 main
conda 2.2 MB | linux-64/r-mboost-2.9_11-r44h2b5f3a1_0.conda  6 months and 22 days ago 926 main

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