Multidimensional latent class Item Response Theory models

Documentation for package ‘MultiLCIRT’ version 2.6

MultiLCIRT-package	Multidimensional latent class (LC) Item Response Theory (IRT) models
aggr_data	Aggregate data
class_item	Hierarchical classification of test items
compare_models	Compare different models fitted by est_multi_poly
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
print.class_item	Print the output of class_item object
print.est_multi_poly	Print the output of est_multi_poly object
print.test_dim	Print the output of test_dim object
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
summary.class_item	Print the output of class_item object
summary.est_multi_poly	Print the output of test_dim object
summary.test_dim	Print the output of test_dim object
test_dim	Likelihood ratio testing between nested multidimensional LC IRT models