The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

InDisc: Obtaining and Estimating Unidimensional and Multidimensional IRT Dual Models

Performs a unified approach for obtaining and estimating unidimensional and multidimensional Item Response Theory (IRT) Dual Models (DMs), proposed by Ferrando (2019 <doi:10.1177/0146621618817779>).

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: psych, utils, matrixStats
Published: 2021-06-16
DOI: 10.32614/CRAN.package.InDisc
Author: David Navarro-Gonzalez [cre, aut], Pere Joan Ferrando [aut]
Maintainer: David Navarro-Gonzalez <david.navarro at urv.cat>
License: GPL-3
NeedsCompilation: no
CRAN checks: InDisc results

Documentation:

Reference manual: InDisc.pdf

Downloads:

Package source: InDisc_1.1.0.tar.gz
Windows binaries: r-devel: InDisc_1.1.0.zip, r-release: InDisc_1.1.0.zip, r-oldrel: InDisc_1.1.0.zip
macOS binaries: r-release (arm64): InDisc_1.1.0.tgz, r-oldrel (arm64): InDisc_1.1.0.tgz, r-release (x86_64): InDisc_1.1.0.tgz, r-oldrel (x86_64): InDisc_1.1.0.tgz
Old sources: InDisc archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=InDisc 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.
Health stats visible at Monitor.