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BiplotML
View on CRAN: Click
here
Download and install BiplotML package within the R console
Install from CRAN:
install.packages("BiplotML")
Install from Github:
library("remotes")
install_github("cran/BiplotML") Install by package version:
library("remotes")
install_version("BiplotML", "1.1.1") Attach the package and use:
library("BiplotML")
Maintained by
Jose Giovany Babativa-Marquez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-23
Latest Update:
Description:
Logistic Biplot is a method that allows representing multivariate binary data on a subspace of low dimension, where each individual is represented by a point and each variable as vectors directed through the origin. The orthogonal projection of individuals onto these vectors predicts the expected probability that the characteristic occurs. The package contains new techniques to estimate the model parameters and constructs in each case the 'Logistic-Biplot'. References can be found in the help of each procedure.
How to cite:
Jose Giovany Babativa-Marquez (2021). BiplotML: Logistic Biplot Estimation Using Machine Learning Algorithms. R package version 1.1.1, https://cran.r-project.org/web/packages/BiplotML. Accessed 05 Jun. 2026.
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Other R packages that BiplotML depends,
imports, suggests or enhances
Complete documentation for BiplotML
Functions, R codes and Examples using
the BiplotML R package
Some associated functions: LogBip . Methylation . bootBLB . cv_LogBip . fitted_LB . gradientDesc . performanceBLB . plotBLB . pred_LB . proj_LogBip . sdv_MM . simBin .
Some associated R codes: BinaryFunctions.R . LogBip.R . Methylation.R . Rglobals.R . SVD_MM.R . bootBLB.R . cv_LogBip.R . fitted_LB.R . gradientDesc.R . performanceBLB.R . plotBLB.R . predict_LB.R . proj_LogBip.R . simBin.R . Full BiplotML package functions and examples
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