Package: MLCIRTwithin 2.1.2

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.

Authors:Francesco Bartolucci [aut, cre], Silvia Bacci [aut]

MLCIRTwithin_2.1.2.tar.gz
MLCIRTwithin_2.1.2.zip(r-4.7)MLCIRTwithin_2.1.2.zip(r-4.6)MLCIRTwithin_2.1.2.zip(r-4.5)
MLCIRTwithin_2.1.2.tgz(r-4.6-any)MLCIRTwithin_2.1.2.tgz(r-4.5-any)
MLCIRTwithin_2.1.2.tar.gz(r-4.7-any)MLCIRTwithin_2.1.2.tar.gz(r-4.6-any)
MLCIRTwithin_2.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MLCIRTwithin/json (API)

# Install 'MLCIRTwithin' in R:
install.packages('MLCIRTwithin', repos = c('https://francescobartolucci.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 10 scripts 413 downloads 21 exports 5 dependencies

Last updated from:d185f09274. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK109
source / vignettesOK152
linux-release-x86_64OK111
macos-release-arm64OK122
macos-oldrel-arm64OK110
windows-develOK91
windows-releaseOK82
windows-oldrelOK81
wasm-releaseOK90

Exports:blkdiagcoef.est_multi_poly_betweencoef.est_multi_poly_withinconfint.est_multi_poly_betweenconfint.est_multi_poly_withinest_multi_glob_genZest_multi_poly_betweenest_multi_poly_withinlk_obs_score_betweenlk_obs_score_withinlogLik.est_multi_poly_betweenlogLik.est_multi_poly_withinprint.est_multi_poly_betweenprint.est_multi_poly_withinprob_multi_glob_gensearch.model_betweensearch.model_withinsummary.est_multi_poly_betweensummary.est_multi_poly_withinvcov.est_multi_poly_betweenvcov.est_multi_poly_within

Dependencies:limSolvelpSolveMASSMultiLCIRTquadprog

Readme and manuals

Help Manual

Help pageTopics
Latent Class Item Response Theory (LC-IRT) Models under Within-Item MultidimensionalityMLCIRTwithin-package MLCIRTwithin
Build block diagonal matricesblkdiag
Display the estimated model parameters of est_multi_poly_between objectcoef.est_multi_poly_between
Display the estimated model parameters of est_multi_poly_within objectcoef.est_multi_poly_within
Display the estimated confidence intervals of the model parameters of est_multi_poly_between objectconfint.est_multi_poly_between
Display the estimated confidence intervals of the model parameters of est_multi_poly_within objectconfint.est_multi_poly_within
Fit marginal regression models for categorical responsesest_multi_glob_genZ
Estimate latent class item response theory (LC-IRT) models for dichotomous and polytomous responses under between-item multidimensionalityest_multi_poly_between
Estimate latent class item response theory (LC-IRT) models for dichotomous and polytomous responses under within-item multidimensionalityest_multi_poly_within
Compute observed log-likelihood and scorelk_obs_score_between
Compute observed log-likelihood and scorelk_obs_score_within
Display the log-likelihood at convergence of est_multi_poly_between objectlogLik.est_multi_poly_between
Display the log-likelihood at convergence of est_multi_poly_within objectlogLik.est_multi_poly_within
Print the output of est_multi_poly_between objectprint.est_multi_poly_between
Print the call of est_multi_poly_within objectprint.est_multi_poly_within
Global probabilitiesprob_multi_glob_gen
RLMS datasetRLMS
Search for the global maximum of the log-likelihood of between-item muldimensional modelssearch.model_between
Search for the global maximum of the log-likelihood of within-item muldimensional modelssearch.model_within
SF12 datasetSF12
SF12 dataset without missing responsesSF12_nomiss
Print the output of est_multi_poly_between objectsummary.est_multi_poly_between
Print the output of est_multi_poly_within objectsummary.est_multi_poly_within
Display the estimated variance-and-covariance matrix of est_multi_poly_between objectvcov.est_multi_poly_between
Display the estimated variance-and-covariance matrix of est_multi_poly_within objectvcov.est_multi_poly_within