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lpda (version 1.2.2)

Linear Programming Discriminant Analysis

Description

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". .

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Version

Install

install.packages('lpda')

Monthly Downloads

169

Version

1.2.2

License

GPL (>= 2)

Maintainer

Maria Jose Nueda

Last Published

October 27th, 2025

Functions in lpda (1.2.2)

RNAseq

Simulated RNA-Seq Time Series 3-dimensional dataset example
PCA

Principal Component Analysis
stand

stand center and scale a data matrix
lpda.fit

lpda.fit computes the discriminating hyperplane for two groups
lpdaCV.3D

Crossvalidation procedure for lpda3D evaluation
lpda.pca

lpda.pca computes a PCA to the original data and selects the desired PCs when Variability is supplied
lpda.3D

Classification with lpda for 3way array data
plot.lpda.3D

Plot method for lpda classification
stand2

stand2 center and scale a data matrix with the parameters of another one
plot.lpda

Plot method for lpda classification
summary.lpda

Summarizing lpda classification
summary.lpda.3D

Summarizing lpda.3D classification
lpda

Computing discriminating hyperplane for two groups
predict.lpda.3D

Predict method for lpda.3D classification
lpdaCV

Crossvalidation procedure for lpda evaluation
palmdates

Spectrometry and composition chemical of Spanish and Arabian palm dates
predict.lpda

Predict method for lpda classification