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.

Author(s):
Version:
1.0-0
License:
GPL (>= 2)
Maintainer:
Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

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Topics in manual of R package ltm

A
  • Abortion
  • anova
  • B
  • biserial.cor
  • C
  • coef
  • cronbach.alpha
  • D
  • descript
  • E
  • Environment
  • F
  • factor.scores
  • fitted
  • G
  • gh
  • GoF
  • gpcm
  • grm
  • I
  • information
  • item.fit
  • L
  • LSAT
  • ltm
  • ltm-package
  • M
  • margins
  • Mobility
  • mult.choice
  • P
  • person.fit
  • plot
  • plot.descript
  • plot.fscores
  • R
  • rasch
  • rcor.test
  • residuals
  • rmvlogis
  • S
  • Science
  • summary
  • T
  • testEquatingData
  • tpm
  • U
  • unidimTest
  • V
  • vcov
  • W
  • WIRS
  • Documentation reproduced from package ltm, version 1.0-0, License:

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