Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality

Documentation for package ‘MLCIRTwithin’ version 1.1

MLCIRTwithin-package	Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality
est_multi_glob_gen	Fit marginal regression models for categorical responses
est_multi_poly_between	Estimate latent class item response theory (LC-IRT) models for dichotomous and polytomous responses under between-item multidimensionality
est_multi_poly_within	Estimate latent class item response theory (LC-IRT) models for dichotomous and polytomous responses under within-item multidimensionality
inv_glob	Invert marginal logits
lk_obs_score_between	Compute observed log-likelihood and score
lk_obs_score_within	Compute observed log-likelihood and score
MLCIRTwithin	Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality
print.est_multi_poly_between	Print the output of est_multi_poly_between object
print.est_multi_poly_within	Print the call of est_multi_poly_within object
prob_multi_glob_gen	Global probabilities
RLMS	RLMS dataset
search.model_between	Search for the global maximum of the log-likelihood of between-item muldimensional models
search.model_within	Search for the global maximum of the log-likelihood of within-item muldimensional models
SF12	SF12 dataset
SF12_nomiss	SF12 dataset without missing responses
summary.est_multi_poly_between	Print the output of est_multi_poly_between object
summary.est_multi_poly_within	Print the output of est_multi_poly_within object