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MLCIRTwithin  

Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality
View on CRAN: Click here


Download and install MLCIRTwithin package within the R console
Install from CRAN:
install.packages("MLCIRTwithin")

Install from Github:
library("remotes")
install_github("cran/MLCIRTwithin")

Install by package version:
library("remotes")
install_version("MLCIRTwithin", "2.1.1")



Attach the package and use:
library("MLCIRTwithin")
Maintained by
Francesco Bartolucci
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-03
Latest Update: 2019-09-30
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.
How to cite:
Francesco Bartolucci (2015). MLCIRTwithin: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality. R package version 2.1.1, https://cran.r-project.org/web/packages/MLCIRTwithin. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2015-06-03 08:12), 1.1 (2016-02-03 22:49), 2.0 (2016-07-20 12:25), 2.1 (2016-08-06 17:42)
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Complete documentation for MLCIRTwithin
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