prob_multi_glob_gen

array of all distinct covariate configurations

type of logit (g = global, l = local, m = multinomial)

model

initial vector of regression coefficients

vector to link responses to covariates

It provides matrix of probabilities under different parametrizations and for the case of response variables having a different number of categories.

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.

prob_multi_glob_gen: Global probabilities

Description

Usage

Arguments

Value

References