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: 0.1.2
Depends: parsnip (≥, R (≥ 2.10)
Imports: purrr, rlang, tibble, withr, dials
Suggests: testthat, MASS, mda, klaR, earth, mlbench, covr, ggplot2, xml2, spelling, naivebayes, modeldata
Published: 2021-05-28
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max at rstudio.com>
BugReports: https://github.com/tidymodels/discrim/issues
License: MIT + file LICENSE
URL: https://discrim.tidymodels.org
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: discrim results


Reference manual: discrim.pdf
Package source: discrim_0.1.2.tar.gz
Windows binaries: r-devel: discrim_0.1.2.zip, r-release: discrim_0.1.2.zip, r-oldrel: discrim_0.1.2.zip
macOS binaries: r-release (arm64): discrim_0.1.2.tgz, r-release (x86_64): discrim_0.1.2.tgz, r-oldrel: discrim_0.1.2.tgz
Old sources: discrim archive

Reverse dependencies:

Reverse suggests: finetune


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