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lpda  

Linear Programming Discriminant Analysis
View on CRAN: Click here


Download and install lpda package within the R console
Install from CRAN:
install.packages("lpda")

Install from Github:
library("remotes")
install_github("cran/lpda")

Install by package version:
library("remotes")
install_version("lpda", "1.0.1")



Attach the package and use:
library("lpda")
Maintained by
Maria Jose Nueda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-07
Latest Update: 2023-03-07
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. LPDA method is published in Nueda, et al. (2022) "LPDA: A new classification method based on linear programming". .
How to cite:
Maria Jose Nueda (2023). lpda: Linear Programming Discriminant Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/lpda. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited lpda R package
View lpda citation profile
Other R packages that lpda depends, imports, suggests or enhances
Complete documentation for lpda
Functions, R codes and Examples using the lpda R package
Some associated functions: CVktest . CVloo . PCA . RNAseq . bestPC . bestVariability . lpda.fit . lpda . lpda.pca . lpdaCV . palmdates . plot.lpda . predict.lpda . stand . stand2 . 
Some associated R codes: CVktest.R . CVloo.R . PCA.R . bestPC.R . bestVariability.R . lpda.R . lpda.fit.R . lpda.pca.R . lpdaCV.R . plot.lpda.R . predict.lpda.R . stand.R .  Full lpda package functions and examples
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