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BiplotML  

Biplots Estimation with Algorithms ML
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", "1.1.0")



Attach the package and use:
library("BiplotML")
Maintained by
Jose Giovany Babativa-Marquez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-23
Latest Update: 2022-04-22
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: Biplots Estimation with Algorithms ML. R package version 1.1.0, https://cran.r-project.org/web/packages/BiplotML
Previous versions and publish date:
1.0.1 (2021-06-23 10:00), 1.1.0 (2022-04-22 23:20)
Other packages that cited BiplotML R package
View BiplotML citation profile
Other R packages that BiplotML depends, imports, suggests or enhances
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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