MultBiplotR (version 23.11.0)

BinaryLogBiplotJoint: Binary logistic biplot with a gradient descent algorithm.

Description

Binary logistic biplot with a gradient descent algorithm.

Usage

BinaryLogBiplotJoint(x, freq = matrix(1, nrow(x), 1), dim = 2, 
ainit = NULL, tolerance = 1e-04, maxiter = 30, penalization = 0.2, 
maxcond = 7, RotVarimax = FALSE, lambda = 0.1, ...)

Value

A logistic biplot object.

Arguments

x

A binary data matrix

freq

A vector of frequencies.

dim

Dimension of the solution

ainit

Initial values for the row coordinates.

tolerance

Tolerance

maxiter

Maximum number of iterations.

penalization

Penalization for the fit (ridge)

maxcond

Naximum condition number

RotVarimax

Should a Varimax Rotation be used?

lambda

Penalization argument

...

Aditional arguments

Author

Jose Luis Vicente-Villardon

Details

Binary logistic biplot with a gradient descent algorithm. Estimates row and column parameters at the same time.

References

Vicente-Villardón, J. L., Galindo-Villardón, M. P., & Blázquez-Zaballos, A. (2006). Logistic biplots. Multiple correspondence analysis and related methods. London: Chapman & Hall, 503-521.

Vicente-Villardon, J. L., & Vicente-Gonzalez, L. Redundancy Analysis for Binary Data Based on Logistic Responses in Data Analysis and Rationality in a Complex World. Springer.

Examples

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