Package: mda 0.5-5

mda: Mixture and Flexible Discriminant Analysis

Mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO, and vector-response smoothing splines. Hastie, Tibshirani and Friedman (2009) "Elements of Statistical Learning (second edition, chap 12)" Springer, New York.

Authors:Trevor Hastie [aut, cre], Robert Tibshirani [aut], Balasubramanian Narasimhan [ctb], Friedrich Leisch [ctb], Kurt Hornik [ctb], Brian Ripley [ctb]

mda_0.5-5.tar.gz
mda_0.5-5.zip(r-4.7-x86_64)mda_0.5-5.zip(r-4.7-arm64)mda_0.5-5.zip(r-4.6-x86_64)mda_0.5-5.zip(r-4.6-arm64)mda_0.5-5.zip(r-4.5-x86_64)
mda_0.5-5.tgz(r-4.6-x86_64)mda_0.5-5.tgz(r-4.6-arm64)mda_0.5-5.tgz(r-4.5-x86_64)mda_0.5-5.tgz(r-4.5-arm64)
mda_0.5-5.tar.gz(r-4.7-arm64)mda_0.5-5.tar.gz(r-4.7-x86_64)mda_0.5-5.tar.gz(r-4.6-arm64)mda_0.5-5.tar.gz(r-4.6-x86_64)
mda_0.5-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mda/json (API)

# Install 'mda' in R:
install.packages('mda', repos = c('https://trevorhastie.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ESL.mixture - Mixture example from "Elements of Statistical Learning"
  • glass - Glass Identification Database

On CRAN:

Conda:

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

7.85 score 2 stars 31 packages 739 scripts 10k downloads 23 mentions 12 exports 1 dependencies

Last updated from:e2d1fd0fc4. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK82
linux-devel-x86_64OK115
source / vignettesOK157
linux-release-arm64OK84
linux-release-x86_64OK142
macos-release-arm64OK122
macos-release-x86_64OK182
macos-oldrel-arm64OK123
macos-oldrel-x86_64OK251
windows-devel-arm64OK175
windows-devel-x86_64OK118
windows-release-arm64WARNING201
windows-release-x86_64OK80
windows-oldrel-x86_64OK94
wasm-releaseOK79

Exports:brutocoef.fdaconfusionfdagen.ridgelaplacianmarsmdamda.startmsplinepolyregsoftmax

Dependencies:class