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MultiLCIRT  

Multidimensional Latent Class Item Response Theory Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MultiLCIRT", "2.11")



Attach the package and use:
library("MultiLCIRT")
Maintained by
Francesco Bartolucci
[Scholar Profile | Author Map]
First Published: 2012-06-25
Latest Update: 2017-06-06
Description:
Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version (since 2.1).
How to cite:
Francesco Bartolucci (2012). MultiLCIRT: Multidimensional Latent Class Item Response Theory Models. R package version 2.11, https://cran.r-project.org/web/packages/MultiLCIRT. Accessed 06 May. 2025.
Previous versions and publish date:
1.0 (2012-06-25 15:25), 2.0 (2012-11-18 16:29), 2.1 (2012-12-11 19:00), 2.2 (2013-01-28 17:28), 2.3 (2013-03-03 16:53), 2.4 (2013-04-13 12:54), 2.5 (2013-08-16 02:18), 2.6 (2014-01-21 17:54), 2.7 (2014-06-22 08:19), 2.9 (2015-02-15 00:06), 2.10 (2016-04-13 09:28)
Other packages that cited MultiLCIRT R package
View MultiLCIRT citation profile
Other R packages that MultiLCIRT depends, imports, suggests or enhances
Complete documentation for MultiLCIRT
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