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.
| Version: |
0.5-5 |
| Depends: |
R (≥ 3.5.0), stats, class |
| Suggests: |
earth, testthat |
| Published: |
2024-11-07 |
| DOI: |
10.32614/CRAN.package.mda |
| Author: |
Trevor Hastie [aut, cre] (Original co-author of the S package `mda`),
Robert Tibshirani [aut] (Original co-author of the S package `mda`),
Balasubramanian Narasimhan [ctb] (Contributed to the upgrading of code),
Friedrich Leisch [ctb] (Original R port from the S package),
Kurt Hornik [ctb] (Original R port from the S package),
Brian Ripley [ctb] (Original R port from the S package) |
| Maintainer: |
Trevor Hastie <hastie at stanford.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
yes |
| Materials: |
README |
| In views: |
Environmetrics |
| CRAN checks: |
mda results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse imports: |
bujar, Compositional, gamsel, MAVE, pheble, RclusTool, rminer, sparseLDA, xLLiM, zooimage |
| Reverse suggests: |
BiodiversityR, biomod2, butcher, caret, DiceEval, discrim, earth, fdm2id, flacco, flowml, FRESA.CAD, fscaret, HandTill2001, live, MachineShop, mlr, nestedcv, pdp, subsemble, tidyAML |
| Reverse enhances: |
prediction |
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