Description Usage Arguments Value Author(s) References
View source: R/prob_multi_glob.R
It provides matrix of probabilities under different parametrizations.
1 | prob_multi_glob(X, model, be, ind=(1:dim(X)[3]))
|
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 |
Pdis |
matrix of distinct probability vectors |
P |
matrix of the probabilities for each covariate configuration |
Francesco Bartolucci - University of Perugia (IT)
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.
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