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lpda (version 1.2.0)

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

176

Version

1.2.0

License

GPL (>= 2)

Maintainer

Maria Jose Nueda

Last Published

March 26th, 2025

Functions in lpda (1.2.0)

summary.lpda.3D

Summarizing lpda.3D classification
stand

stand center and scale a data matrix
stand2

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

Predict method for lpda classification
plot.lpda

Plot method for lpda classification
predict.lpda.3D

Predict method for lpda.3D classification
summary.lpda

Summarizing lpda classification
plot.lpda.3D

Plot method for lpda classification
PCA

Principal Component Analysis
lpdaCV.3D

Crossvalidation procedure for lpda3D evaluation
RNAseq

Simulated RNA-Seq Time Series 3-dimensional dataset example
lpda.pca

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

Spectrometry and composition chemical of Spanish and Arabian palm dates
lpdaCV

Crossvalidation procedure for lpda evaluation
lpda

Computing discriminating hyperplane for two groups
lpda.3D

Classification with lpda for 3way array data
lpda.fit

lpda.fit computes the discriminating hyperplane for two groups