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. LPDA method is published in Nueda, et al. (2022) "LPDA: A new classification method based on linear programming". <doi:10.1371/journal.pone.0270403>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: Rglpk
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2023-03-07
Author: Maria Jose Nueda
Maintainer: Maria Jose Nueda <mj.nueda at ua.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: lpda results


Reference manual: lpda.pdf
Vignettes: lpda: Linear Programming Discriminant Analysis


Package source: lpda_1.0.1.tar.gz
Windows binaries: r-devel: lpda_1.0.1.zip, r-release: lpda_1.0.1.zip, r-oldrel: lpda_1.0.1.zip
macOS binaries: r-release (arm64): lpda_1.0.1.tgz, r-oldrel (arm64): lpda_1.0.1.tgz, r-release (x86_64): lpda_1.0.1.tgz, r-oldrel (x86_64): lpda_1.0.1.tgz


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