BinaryLogBiplotJoint: Binary logistic biplot with a gradient descent algorithm.
In villardon/MultBiplotR: Multivariate Analysis Using Biplots in R

Description Usage Arguments Details Value Author(s) References Examples

Binary logistic biplot with a gradient descent algorithm.

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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, ...)

`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`
`...`	Aditional arguments

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

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.

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.