Rirt: Data Analysis and Parameter Estimation Using Item Response Theory

Parameter estimation, computation of probability, information, and (log-)likelihood, and visualization of item/test characteristic curves and item/test information functions for three uni-dimensional item response theory models: the 3-parameter-logistic model, generalized partial credit model, and graded response model. The full documentation and tutorials are at <https://github.com/xluo11/Rirt>.

Version: 0.0.2
Depends: R (≥ 3.6.0)
Imports: ggplot2, Rcpp, reshape2, stats
LinkingTo: Rcpp
Suggests: testthat
Published: 2019-10-23
DOI: 10.32614/CRAN.package.Rirt
Author: Xiao Luo [aut, cre]
Maintainer: Xiao Luo <xluo1986 at gmail.com>
BugReports: https://github.com/xluo11/Rirt/issues
License: GPL (≥ 3)
URL: https://github.com/xluo11/Rirt
NeedsCompilation: yes
In views: Psychometrics
CRAN checks: Rirt results


Reference manual: Rirt.pdf


Package source: Rirt_0.0.2.tar.gz
Windows binaries: r-devel: Rirt_0.0.2.zip, r-release: Rirt_0.0.2.zip, r-oldrel: Rirt_0.0.2.zip
macOS binaries: r-release (arm64): Rirt_0.0.2.tgz, r-oldrel (arm64): Rirt_0.0.2.tgz, r-release (x86_64): Rirt_0.0.2.tgz, r-oldrel (x86_64): Rirt_0.0.2.tgz
Old sources: Rirt archive

Reverse dependencies:

Reverse imports: Rata, Rmst


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