BinaryLogBiplotMirt

Binary logistic biplot with Item Response Theory.

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

BinaryLogBiplotMirt function

<dl> <dt>x</dt>
<dd>The binary Data matrix</dd> <dt>dimens</dt>
<dd>Dimension of the solution</dd> <dt>tolerance</dt>
<dd>Tolerance of the algorithm</dd> <dt>maxiter</dt>
<dd>Maximum number of iterations</dd> <dt>penalization</dt>
<dd>Rige Penalization</dd> <dt>Rotation</dt>
<dd>Should a rotation be applied?</dd> <dt>...</dt>
<dd>Aditional argumaents.</dd></dl>

Arguments

Author

Binary logistic biplot with Item Response Theory. — BinaryLogBiplotMirt

<dl>

 <dt>x</dt>
<dd>The binary Data matrix</dd>

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

 <dt>tolerance</dt>
<dd>Tolerance of the algorithm</dd>

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

 <dt>penalization</dt>
<dd>Rige Penalization</dd>

 <dt>Rotation</dt>
<dd>Should a rotation be applied?</dd>

 <dt>...</dt>
<dd>Aditional argumaents.</dd>

</dl>

BinaryLogBiplotMirt: Binary logistic biplot with Item Response Theory.

Description

Usage

Value

Arguments

Author

Details

References

Examples