*BiplotML*

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
builds in each case the Logistic Biplot Model. Since version 1.1.1, an
algorithm that considers missing data can be used in the LogBip
function, while the cv_LogBip function implements a cross-validation
algorithm that allows identifying the hyperparameter k, which represents
the number of dimensions in the model. References can be found in the
help for each procedure.

## Installation

```
# install.packages("devtools")
devtools::install_github("jgbabativam/BiplotML")
```

## Author

This package is maintained by Giovany Babativa. Email:
[email protected]