discrim: Model Wrappers for Discriminant Analysis

Bindings for additional classification models for use with the 'parsnip' package. Models include flavors of discriminant analysis, such as linear (Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman (1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie, Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as well as naive Bayes classifiers (Hand and Yu (2007) <doi:10.1111/j.1751-5823.2001.tb00465.x>).

Version: 1.0.1
Depends: parsnip (≥ 0.2.0), R (≥ 3.4)
Imports: dials, rlang, stats, tibble, withr
Suggests: covr, dplyr, earth, ggplot2, klaR, knitr, MASS, mda, mlbench, modeldata, naivebayes, rmarkdown, sda, sparsediscrim (≥ 0.3.0), spelling, testthat (≥ 3.0.0), xml2
Published: 2023-03-08
Author: Emil Hvitfeldt ORCID iD [aut, cre], Max Kuhn ORCID iD [aut], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt at posit.co>
BugReports: https://github.com/tidymodels/discrim/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/discrim, https://discrim.tidymodels.org/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: discrim results

Documentation:

Reference manual: discrim.pdf

Downloads:

Package source: discrim_1.0.1.tar.gz
Windows binaries: r-devel: discrim_1.0.1.zip, r-release: discrim_1.0.1.zip, r-oldrel: discrim_1.0.1.zip
macOS binaries: r-release (arm64): discrim_1.0.1.tgz, r-oldrel (arm64): discrim_1.0.1.tgz, r-release (x86_64): discrim_1.0.1.tgz
Old sources: discrim archive

Reverse dependencies:

Reverse suggests: finetune, tidyAML

Linking:

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