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

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.

Install the latest version of this package by entering the following in R:
install.packages("MLCIRTwithin")
AuthorFrancesco Bartolucci, Silvia Bacci - University of Perugia (IT)
Date of publication2016-08-06 17:42:47
MaintainerFrancesco Bartolucci <bart@stat.unipg.it>
LicenseGPL (>= 2)
Version2.1

View on CRAN

Man pages

blkdiag: Build block diagonal matrices

coef.est_multi_poly_between: Display the estimated model parameters of...

coef.est_multi_poly_within: Display the estimated model parameters of...

confint.est_multi_poly_between: Display the estimated confidence intervals of the model...

confint.est_multi_poly_within: Display the estimated confidence intervals of the model...

est_multi_glob_genZ: Fit marginal regression models for categorical responses

est_multi_poly_between: Estimate latent class item response theory (LC-IRT) models...

est_multi_poly_within: Estimate latent class item response theory (LC-IRT) models...

lk_obs_score_between: Compute observed log-likelihood and score

lk_obs_score_within: Compute observed log-likelihood and score

logLik.est_multi_poly_between: Display the log-likelihood at convergence of...

logLik.est_multi_poly_within: Display the log-likelihood at convergence of...

MLCIRTwithin-package: Latent Class Item Response Theory (LC-IRT) Models under...

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...

search.model_within: Search for the global maximum of the log-likelihood of...

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

vcov.est_multi_poly_between: Display the estimated variance-and-covariance matrix of...

vcov.est_multi_poly_within: Display the estimated variance-and-covariance matrix of...

Functions

blkdiag Man page
coef.est_multi_poly_between Man page
coef.est_multi_poly_within Man page
confint.est_multi_poly_between Man page
confint.est_multi_poly_within Man page
est_multi_glob_genZ Man page
est_multi_poly_between Man page
est_multi_poly_within Man page
lk_obs_score_between Man page
lk_obs_score_within Man page
logLik.est_multi_poly_between Man page
logLik.est_multi_poly_within Man page
MLCIRTwithin Man page
MLCIRTwithin-package Man page
print.est_multi_poly_between Man page
print.est_multi_poly_within Man page
prob_multi_glob_gen Man page
RLMS Man page
search.model_between Man page
search.model_within Man page
SF12 Man page
SF12_nomiss Man page
summary.est_multi_poly_between Man page
summary.est_multi_poly_within Man page
vcov.est_multi_poly_between Man page
vcov.est_multi_poly_within Man page

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