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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

Documentation:

Reference manual: Rirt.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Rirt to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.