ltm: An R Package for Latent Variable Modeling and Item Response Theory Analyses
作者： Dimitrios Rizopoulos
DOI:
关键词: Polytomous Rasch model 、 Latent class model 、 Multivariate statistics 、 Latent variable 、 Data mining 、 Gaussian quadrature 、 Rasch model 、 Latent variable model 、 Statistics 、 Mathematics 、 Item response theory
摘要: The R package ltm has been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models, under Item Response Theory approach. For Rasch, Two-Parameter Logistic, Birnbaum’s Three-Parameter models have implemented, whereas Semejima’s Graded model is available. Parameter estimates are obtained marginal maximum likelihood Gauss-Hermite quadrature rule. capabilities features illustrated two real examples.
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