Package: discrim 1.0.1.9000

Emil Hvitfeldt

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>).

Authors:Emil Hvitfeldt [aut, cre], Max Kuhn [aut], Posit Software, PBC [cph, fnd]

discrim_1.0.1.9000.tar.gz
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discrim_1.0.1.9000.tgz(r-4.5-any)discrim_1.0.1.9000.tgz(r-4.4-any)discrim_1.0.1.9000.tgz(r-4.3-any)
discrim_1.0.1.9000.tar.gz(r-4.5-noble)discrim_1.0.1.9000.tar.gz(r-4.4-noble)
discrim_1.0.1.9000.tgz(r-4.4-emscripten)discrim_1.0.1.9000.tgz(r-4.3-emscripten)
discrim.pdf |discrim.html
discrim/json (API)
NEWS

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

Bug tracker:https://github.com/tidymodels/discrim/issues

Pkgdown site:https://discrim.tidymodels.org

Datasets:

On CRAN:

Conda:

8.26 score 29 stars 1 packages 1.1k scripts 1.6k downloads 1 mentions 7 exports 45 dependencies

Last updated 5 months agofrom:191c269fad. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-winNOTEFeb 20 2025
R-4.5-macNOTEFeb 20 2025
R-4.5-linuxNOTEFeb 20 2025
R-4.4-winOKFeb 20 2025
R-4.4-macOKFeb 20 2025
R-4.3-winOKFeb 20 2025
R-4.3-macOKFeb 20 2025

Exports:fit_regularized_linearfit_regularized_quadfrac_common_covfrac_identityklar_bayes_wrapperpred_wrappersmoothness

Dependencies:clicodetoolscolorspacecpp11dialsDiceDesigndplyrfansifarvergenericsggplot2globalsgluegtablehardhatisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparsnippillarpkgconfigprettyunitspurrrR6RColorBrewerrlangscalessfdsparsevctrsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr