prob_multi_glob_gen: Global probabilities

In MLCIRTwithin: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality

Description

It provides matrix of probabilities under different parametrizations and for the case of response variables having a different number of categories.

Usage

prob_multi_glob_gen(X, model, be, ind=(1:dim(X)[3]))

Arguments

X	array of all distinct covariate configurations
model	type of logit (g = global, l = local, m = multinomial)
be	initial vector of regression coefficients
ind	vector to link responses to covariates

Value

Pdis	matrix of distinct probability vectors
P	matrix of the probabilities for each covariate configuration

Author(s)

Francesco Bartolucci - University of Perugia (IT)

References

Colombi, R. and Forcina, A. (2001), Marginal regression models for the analysis of positive association of ordinal response variables, Biometrika, 88, 1007-1019.

Glonek, G. F. V. and McCullagh, P. (1995), Multivariate logistic models, Journal of the Royal Statistical Society, Series B, 57, 533-546.

MLCIRTwithin documentation built on Sept. 30, 2019, 5:04 p.m.