Package: lpda 1.2.3

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>.

Authors:María José Nueda [aut, cre]

lpda_1.2.3.tar.gz
lpda_1.2.3.zip(r-4.7)lpda_1.2.3.zip(r-4.6)lpda_1.2.3.zip(r-4.5)
lpda_1.2.3.tgz(r-4.6-any)lpda_1.2.3.tgz(r-4.5-any)
lpda_1.2.3.tar.gz(r-4.7-any)lpda_1.2.3.tar.gz(r-4.6-any)
lpda_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lpda/json (API)
NEWS

# Install 'lpda' in R:
install.packages('lpda', repos = c('https://mjnueda.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • palmdates - Spectrometry and composition chemical of Spanish and Arabian palm dates
  • RNAseq - Simulated RNA-Seq Time Series 3-dimensional dataset example

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 3 scripts 517 downloads 9 exports 5 dependencies

Last updated from:bd121ff4ce. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK214
linux-release-x86_64OK149
macos-release-arm64OK151
macos-oldrel-arm64OK152
windows-develOK78
windows-releaseOK85
windows-oldrelOK89
wasm-releaseOK105

Exports:lpdalpda.3Dlpda.fitlpda.pcalpdaCVlpdaCV.3DPCAstandstand2

Dependencies:CMLSmultiwayquadprogRglpkslam

lpda: Linear Programming Discriminant Analysis

Carmen Gandía, Department of Mathematics, Alicante Universiy, Spain, Maria J. Nueda, Department of Mathematics, Alicante Universiy, Spain

Rendered fromlpdaUsersGuide.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2025-10-27
Started: 2023-03-07