MultiLCIRT-package |
Multidimensional latent class (LC) Item Response Theory (IRT) models |
aggr_data |
Aggregate data |
class_item |
Hierarchical classification of test items |
est_multilogit |
Estimate multilogit model |
est_multi_glob |
Fit marginal regression models for categorical responses |
est_multi_poly |
Estimate multidimensional LC IRT model for dichotomous and polytomous responses |
hads |
Dataset about measurement of anxiety and depression in oncological patients |
inv_glob |
Invert marginal logits |
matr_glob |
Matrices to compute generalized logits |
MultiLCIRT |
Multidimensional latent class (LC) Item Response Theory (IRT) models |
naep |
NAEP dataset |
prob_multilogit |
Compute multinomial probabilities |
search.model |
Search for the global maximum of the log-likelihood |
standard.matrix |
Standardization of a matrix of support points on the basis of a vector of probabilities |
test_dim |
Likelihood ratio testing between nested multidimensional LC IRT models |