lpda: Linear Programming Discriminant Analysis

Classification method obtained through linear programming. It is advantageous with respect to the classical developments when the distribution of the variables involved is unknown or when the number of variables is much greater than the number of individuals. Mathematical details behind the method are published in Nueda, et al. (2022) "LPDA: A new classification method based on linear programming". <doi:10.1371/journal.pone.0270403>.

Version:	1.2.1
Depends:	R (≥ 3.5.0)
Imports:	Rglpk, multiway
Suggests:	rmarkdown, knitr, testthat (≥ 3.0.0)
Published:	2025-07-16
Author:	María José Nueda [aut, cre]
Maintainer:	María José Nueda <mj.nueda at ua.es>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	lpda results

Documentation:

Reference manual:	lpda.html , lpda.pdf
Vignettes:	lpda: Linear Programming Discriminant Analysis (source, R code)

Downloads:

Package source:	lpda_1.2.1.tar.gz
Windows binaries:	r-devel: lpda_1.2.1.zip, r-release: lpda_1.2.1.zip, r-oldrel: lpda_1.2.1.zip
macOS binaries:	r-release (arm64): lpda_1.2.1.tgz, r-oldrel (arm64): lpda_1.2.1.tgz, r-release (x86_64): lpda_1.2.1.tgz, r-oldrel (x86_64): lpda_1.2.1.tgz
Old sources:	lpda archive

Linking:

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