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MLCIRTwithin (version 2.1.1)

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

Description

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.

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Version

Install

install.packages('MLCIRTwithin')

Monthly Downloads

250

Version

2.1.1

License

GPL (>= 2)

Maintainer

Francesco Bartolucci

Last Published

September 30th, 2019

Functions in MLCIRTwithin (2.1.1)

lk_obs_score_between

Compute observed log-likelihood and score
est_multi_poly_between

Estimate latent class item response theory (LC-IRT) models for dichotomous and polytomous responses under between-item multidimensionality
print.est_multi_poly_within

Print the call of est_multi_poly_within object
vcov.est_multi_poly_between

Display the estimated variance-and-covariance matrix of est_multi_poly_between object
summary.est_multi_poly_within

Print the output of est_multi_poly_within object
print.est_multi_poly_between

Print the output of est_multi_poly_between object
logLik.est_multi_poly_between

Display the log-likelihood at convergence of est_multi_poly_between object
logLik.est_multi_poly_within

Display the log-likelihood at convergence of est_multi_poly_within object
est_multi_poly_within

Estimate latent class item response theory (LC-IRT) models for dichotomous and polytomous responses under within-item multidimensionality
vcov.est_multi_poly_within

Display the estimated variance-and-covariance matrix of est_multi_poly_within object
est_multi_glob_genZ

Fit marginal regression models for categorical responses
prob_multi_glob_gen

Global probabilities
lk_obs_score_within

Compute observed log-likelihood and score
summary.est_multi_poly_between

Print the output of est_multi_poly_between object
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
MLCIRTwithin-package

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

Display the estimated model parameters of est_multi_poly_within object
SF12

SF12 dataset
confint.est_multi_poly_between

Display the estimated confidence intervals of the model parameters of est_multi_poly_between object
blkdiag

Build block diagonal matrices
confint.est_multi_poly_within

Display the estimated confidence intervals of the model parameters of est_multi_poly_within object
coef.est_multi_poly_between

Display the estimated model parameters of est_multi_poly_between object
RLMS

RLMS dataset
SF12_nomiss

SF12 dataset without missing responses