Package: SplitSoftening 2.1-1

SplitSoftening: Softening Splits in Decision Trees

Allows to produce and use classification trees with soft (probability) splits, as described in: Dvořák, J. (2019), <doi:10.1007/s00180-019-00867-1>.

Authors:Jakub Dvorak [aut, cre]

SplitSoftening_2.1-1.tar.gz
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SplitSoftening_2.1-1.tgz(r-4.4-x86_64)SplitSoftening_2.1-1.tgz(r-4.4-arm64)SplitSoftening_2.1-1.tgz(r-4.3-x86_64)SplitSoftening_2.1-1.tgz(r-4.3-arm64)
SplitSoftening_2.1-1.tar.gz(r-4.5-noble)SplitSoftening_2.1-1.tar.gz(r-4.4-noble)
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SplitSoftening.pdf |SplitSoftening.html✨
SplitSoftening/json (API)

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

Peer review:

On CRAN:

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

1.00 score 1 scripts 205 downloads 6 exports 0 dependencies

Last updated 27 days agofrom:0cdf62279b. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-win-x86_64OKOct 28 2024
R-4.5-linux-x86_64OKOct 28 2024
R-4.4-win-x86_64OKOct 28 2024
R-4.4-mac-x86_64OKOct 28 2024
R-4.4-mac-aarch64OKOct 28 2024
R-4.3-win-x86_64OKOct 28 2024
R-4.3-mac-x86_64OKOct 28 2024
R-4.3-mac-aarch64OKOct 28 2024

Exports:predictSoftsplitssoftensoftening.by.data.rangesoftening.by.esdsoftening.optimizedsoftsplits

Dependencies: