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MultiLCIRT (version 2.11)

prob_multi_glob: 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

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.