BinaryLogBiplotEM {MultBiplotR}

Binary logistic biplot with the EM algorithm.

Description

Binary logistic biplot with the EM algorithm

Usage

BinaryLogBiplotEM(x, freq = matrix(1, nrow(x), 1), aini = NULL,
dimens = 2, nnodos = 15, tol = 1e-04, maxiter = 100, penalization = 0.2)

Arguments

x

A binary data matrix

freq

A vector of frequencies.

aini

Initial values for the row coordinates.

dimens

Dimension of the solution.

nnodos

Number of nodes for the gaussian quadrature

tol

Tolerance

maxiter

Maximum number of iterations.

penalization

Penalization for the fit (ridge)

Details

Binary logistic biplot with the EM algorithm based on marginal maximum likelihood.

Value

A logistic biplot object.

Author(s)

Jose Luis Vicente-Villardon

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.

Examples

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