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:
ltm_1.2-0.tar.gz
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ltm_1.2-0.tgz(r-4.4-any)ltm_1.2-0.tgz(r-4.3-any)
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ltm.pdf |ltm.html✨
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
Last updated 3 years agofrom:3050c46f19. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
R-4.4-win | OK | Oct 25 2024 |
R-4.4-mac | OK | Oct 25 2024 |
R-4.3-win | OK | Oct 25 2024 |
R-4.3-mac | OK | Oct 25 2024 |
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:admisccliexpmfansigenericsgluelatticelifecyclemagrittrMASSMatrixmsmmvtnormpillarpkgconfigpolycorrlangsurvivaltibbleutf8vctrs