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ltm: Latent Trait Models under IRT

Analysis of multivariate dichotomous and polytomous data using latent trait models under the Item Response Theory approach. It includes the Rasch, the Two-Parameter Logistic, the Birnbaum's Three-Parameter, the Graded Response, and the Generalized Partial Credit Models.

Version: 1.2-0
Depends: R (≥ 3.0.0), MASS, msm, polycor
Published: 2022-02-18
Author: Dimitris Rizopoulos
Maintainer: Dimitris Rizopoulos <d.rizopoulos at erasmusmc.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/drizopoulos/ltm
NeedsCompilation: no
Citation: ltm citation info
Materials: NEWS
In views: MissingData, Psychometrics
CRAN checks: ltm results

Documentation:

Reference manual: ltm.pdf

Downloads:

Package source: ltm_1.2-0.tar.gz
Windows binaries: r-devel: ltm_1.2-0.zip, r-release: ltm_1.2-0.zip, r-oldrel: ltm_1.2-0.zip
macOS binaries: r-release (arm64): ltm_1.2-0.tgz, r-oldrel (arm64): ltm_1.2-0.tgz, r-release (x86_64): ltm_1.2-0.tgz, r-oldrel (x86_64): ltm_1.2-0.tgz
Old sources: ltm archive

Reverse dependencies:

Reverse depends: catSurv, GPCMlasso, IMTest, integIRTy, irtoys, kequate, PCMRS, PerFit, subscore, UPCM
Reverse imports: CTTShiny, difR, hIRT, irtreliability, IRTShiny, missCompare, MultIS, PsyControl, RSP, tcl
Reverse suggests: catIrt, equateIRT, equateMultiple, latdiag, ShinyItemAnalysis

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ltm 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.
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