Binary logistic biplot with the EM algorithm.
Binary logistic biplot with the EM algorithm
BinaryLogBiplotEM(x, freq = matrix(1, nrow(x), 1), aini = NULL, dimens = 2, nnodos = 15, tol = 1e-04, maxiter = 100, penalization = 0.2)
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) |
Binary logistic biplot with the EM algorithm based on marginal maximum likelihood.
A logistic biplot object.
Jose Luis Vicente-Villardon
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.
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