Multidimensional Latent Class Item Response Theory Models

[Up] [Top]

Documentation for package ‘MultiLCIRT’ version 2.11

Help Pages

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_multi_glob Fit marginal regression models for categorical responses
est_multi_poly Estimate multidimensional LC IRT model for dichotomous and polytomous responses
est_multi_poly_clust Estimate multidimensional and multilevel LC IRT model for dichotomous and polytomous responses
hads Dataset about measurement of anxiety and depression in oncological patients
inv_glob Invert marginal logits
lk_obs_score Compute observed log-likelihood and score
lk_obs_score_clust Compute observed log-likelihood and score
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.est_multi_poly_clust Print the output of est_multi_poly_clust object
print.test_dim Print the output of test_dim object
prob_multi_glob Global 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.est_multi_poly_clust Print the output of est_multi_poly_clust object
summary.test_dim Print the output of test_dim object
test_dim Likelihood ratio testing between nested multidimensional LC IRT models