R: Multidimensional Latent Class Item Response Theory Models

# Multidimensional Latent Class Item Response Theory Models

## Documentation for package ‘MultiLCIRT’ version 2.11

- DESCRIPTION file.

## 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