summary.RidgeBinaryLogistic

Summarizes the results of a Binary Logistic Regression with Ridge Penalization

Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Jose Vicente-Villardon

MultBiplotR

Multivariate Analysis Using Biplots in R

summary.RidgeBinaryLogistic function

<dl> <dt>object</dt>
<dd>The object with te results of the logistic regression.</dd> <dt>...</dt>
<dd>Any other arguments</dd></dl>

Arguments

Author

Summary of a Binary Logistic Regression with Ridge Penalization — summary.RidgeBinaryLogistic

<dl>

 <dt>object</dt>
<dd>The object with te results of the logistic regression.</dd>

 <dt>...</dt>
<dd>Any other arguments</dd>

</dl>

summary.RidgeBinaryLogistic: Summary of a Binary Logistic Regression with Ridge Penalization

Description

Usage

Value

Arguments

Author

Details

Examples