prob_multi_glob_gen {MLCIRTwithin}

Global probabilities

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.