Package: mda 0.5-5

Trevor Hastie

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.tar.gz(r-4.5-noble)mda_0.5-5.tar.gz(r-4.4-noble)
mda_0.5-5.tgz(r-4.4-emscripten)mda_0.5-5.tgz(r-4.3-emscripten)
mda.pdf |mda.html
mda/json (API)

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

Peer review:

Datasets:
  • ESL.mixture - Mixture example from "Elements of Statistical Learning"
  • glass - Glass Identification Database

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

7.16 score 2 stars 16 packages 356 scripts 8.5k downloads 23 mentions 12 exports 2 dependencies

Last updated 27 days agofrom:e2d1fd0fc4. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-linux-x86_64OKNov 08 2024

Exports:brutocoef.fdaconfusionfdagen.ridgelaplacianmarsmdamda.startmsplinepolyregsoftmax

Dependencies:classMASS