prob_multi_glob: Global probabilities

In MultiLCIRT: Multidimensional Latent Class Item Response Theory Models

Global probabilities

Description

It provides matrix of probabilities under different parametrizations.

Usage

prob_multi_glob(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.

MultiLCIRT documentation built on June 28, 2025, 9:07 a.m.