Package: bst 0.3-24

Zhu Wang

bst: Gradient Boosting

Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems. See Wang (2011) <doi:10.2202/1557-4679.1304>, Wang (2012) <doi:10.3414/ME11-02-0020>, Wang (2018) <doi:10.1080/10618600.2018.1424635>, Wang (2018) <doi:10.1214/18-EJS1404>.

Authors:Zhu Wang [aut, cre], Torsten Hothorn [ctb]

bst_0.3-24.tar.gz
bst_0.3-24.tar.gz(r-4.5-noble)bst_0.3-24.tar.gz(r-4.4-noble)
bst_0.3-24.tgz(r-4.4-emscripten)bst_0.3-24.tgz(r-4.3-emscripten)
bst.pdf |bst.html✨
bst/json (API)
NEWS

# Install 'bst' in R:
install.packages('bst', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

38 exports 1.38 score 9 dependencies 5 dependents 39 scripts 1.2k downloads

Last updated 2 years agofrom:53dbd049b0. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-linuxOKSep 03 2024

Exports:balanced.foldsbfuncbstbst_controlbst.selcv.bstcv.madacv.mbstcv.mhingebstcv.mhingeovacv.rbstcv.rmbstevalerrex1datafpartial.bstfpartial.mbstfpartial.mhingebstgausslossgaussngragradienthingelosshingengralossloss.mbstloss.mhingebstmadambstmbst_fitmhingebstmhingebst_fitmhingeovangradientnselpermute.rowsplotCVbstrbstrbstpathrmbst

Dependencies:codetoolsdoParallelforeachgbmiteratorslatticeMatrixrpartsurvival

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