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, tcl
Reverse suggests:	catIrt, equateIRT, equateMultiple, latdiag, ShinyItemAnalysis

Linking:

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