BinaryLogBiplotEM

Binary logistic biplot with the EM algorithm

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

BinaryLogBiplotEM function

<dl> <dt>x</dt>
<dd>A binary data matrix</dd> <dt>freq</dt>
<dd>A vector of frequencies.</dd> <dt>aini</dt>
<dd>Initial values for the row coordinates.</dd> <dt>dimens</dt>
<dd>Dimension of the solution.</dd> <dt>nnodos</dt>
<dd>Number of nodes for the gaussian quadrature</dd> <dt>tol</dt>
<dd>Tolerance</dd> <dt>maxiter</dt>
<dd>Maximum number of iterations.</dd> <dt>penalization</dt>
<dd>Penalization for the fit (ridge)</dd></dl>

Arguments

Author

Binary logistic biplot with the EM algorithm. — BinaryLogBiplotEM

<dl>

 <dt>x</dt>
<dd>A binary data matrix</dd>

 <dt>freq</dt>
<dd>A vector of frequencies.</dd>

 <dt>aini</dt>
<dd>Initial values for the row coordinates.</dd>

 <dt>dimens</dt>
<dd>Dimension of the solution.</dd>

 <dt>nnodos</dt>
<dd>Number of nodes for the gaussian quadrature</dd>

 <dt>tol</dt>
<dd>Tolerance</dd>

 <dt>maxiter</dt>
<dd>Maximum number of iterations.</dd>

 <dt>penalization</dt>
<dd>Penalization for the fit (ridge)</dd>

</dl>

BinaryLogBiplotEM: Binary logistic biplot with the EM algorithm.

Description

Usage

Value

Arguments

Author

Details

References

Examples