Package: ltm 1.2-0

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.

Authors:Dimitris Rizopoulos <[email protected]>

ltm_1.2-0.tar.gz
ltm_1.2-0.zip(r-4.7)ltm_1.2-0.zip(r-4.6)ltm_1.2-0.zip(r-4.5)
ltm_1.2-0.tgz(r-4.6-any)ltm_1.2-0.tgz(r-4.5-any)
ltm_1.2-0.tar.gz(r-4.7-any)ltm_1.2-0.tar.gz(r-4.6-any)
ltm_1.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ltm/json (API)
NEWS

# Install 'ltm' in R:
install.packages('ltm', repos = c('https://drizopoulos.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/drizopoulos/ltm/issues

Datasets:
  • Abortion - Attitude Towards Abortion
  • Environment - Attitude to the Environment
  • gh - Gauss-Hermite Quadrature Points
  • LSAT - The Law School Admission Test (LSAT), Section VI
  • Mobility - Women's Mobility
  • Science - Attitude to Science and Technology
  • WIRS - Workplace Industrial Relation Survey Data

On CRAN:

Conda:

9.49 score 30 stars 26 packages 998 scripts 6.7k downloads 81 mentions 67 exports 20 dependencies

Last updated from:3050c46f19. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK150
source / vignettesOK153
linux-release-x86_64OK138
macos-release-arm64OK131
macos-oldrel-arm64OK134
windows-develOK125
windows-releaseOK111
windows-oldrelOK117
wasm-releaseOK101

Exports:anova.gpcmanova.grmanova.ltmanova.raschanova.tpmbiserial.corcoef.gpcmcoef.grmcoef.ltmcoef.raschcoef.tpmcronbach.alphadescriptfactor.scoresfactor.scores.gpcmfactor.scores.grmfactor.scores.ltmfactor.scores.raschfactor.scores.tpmfitted.gpcmfitted.grmfitted.ltmfitted.raschfitted.tpmGoF.gpcmGoF.raschgpcmgrminformationitem.fitltmmarginsmargins.grmmargins.ltmmargins.raschmargins.tpmmult.choiceperson.fitplot.descriptplot.fscoresplot.gpcmplot.grmplot.ltmplot.raschplot.tpmraschrcor.testresiduals.gpcmresiduals.grmresiduals.ltmresiduals.raschresiduals.tpmrmvlogisrmvordlogissummary.gpcmsummary.grmsummary.ltmsummary.raschsummary.tpmtestEquatingDatatpmunidimTestvcov.gpcmvcov.grmvcov.ltmvcov.raschvcov.tpm

Dependencies:admisccliexpmgenericsgluelatticelifecyclemagrittrMASSMatrixmsmmvtnormpillarpkgconfigpolycorrlangsurvivaltibbleutf8vctrs

Readme and manuals

Help Manual

Help pageTopics
Latent Trait Models for Item Response Theory Analysesltm-package
Attitude Towards AbortionAbortion
Anova method for fitted IRT modelsanova.gpcm anova.grm anova.ltm anova.rasch anova.tpm
Point-Biserial Correlationbiserial.cor
Extract Estimated Loadingscoef.gpcm coef.grm coef.ltm coef.rasch coef.tpm
Cronbach's alphacronbach.alpha
Descriptive Statisticsdescript
Attitude to the EnvironmentEnvironment
Factor Scores - Ability Estimatesfactor.scores factor.scores.gpcm factor.scores.grm factor.scores.ltm factor.scores.rasch factor.scores.tpm
Fitted Values for IRT modelfitted.gpcm fitted.grm fitted.ltm fitted.rasch fitted.tpm
Gauss-Hermite Quadrature Pointsgh
Goodness of Fit for Rasch ModelsGoF.gpcm GoF.rasch
Generalized Partial Credit Model - Polytomous IRTgpcm
Graded Response Model - Polytomous IRTgrm
Area under the Test or Item Information Curvesinformation
Item-Fit Statistics and P-valuesitem.fit
The Law School Admission Test (LSAT), Section VILSAT
Latent Trait Model - Latent Variable Model for Binary Dataltm
Fit of the model on the marginsmargins margins.gpcm margins.grm margins.ltm margins.rasch margins.tpm
Women's MobilityMobility
Multiple Choice Items to Binary Responsesmult.choice
Person-Fit Statistics and P-valuesperson.fit
Descriptive Statistics Plot methodplot.descript
Factor Scores - Ability Estimates Plot methodplot.fscores
Plot method for fitted IRT modelsplot.gpcm plot.grm plot.ltm plot.rasch plot.tpm
Rasch Modelrasch
Pairwise Associations between Items using a Correlation Coefficientrcor.test
Residuals for IRT modelsresiduals.gpcm residuals.grm residuals.ltm residuals.rasch residuals.tpm
Generate Random Responses Patterns under Dichotomous and Polytomous IRT modelsrmvlogis rmvordlogis
Attitude to Science and TechnologyScience
Summary method for fitted IRT modelssummary.gpcm summary.grm summary.ltm summary.rasch summary.tpm
Prepares Data for Test EquatingtestEquatingData
Birnbaum's Three Parameter Modeltpm
Unidimensionality Check using Modified Parallel AnalysisunidimTest
vcov method for fitted IRT modelsvcov.gpcm vcov.grm vcov.ltm vcov.rasch vcov.tpm
Workplace Industrial Relation Survey DataWIRS