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
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:

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