prob_multi_glob function

Global probabilities

It provides matrix of probabilities under different parametrizations.

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

Returns

• 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.

Author(s)

Francesco Bartolucci - University of Perugia (IT)