mirt (0.4.1)
Multidimensional Item Response Theory.
https://github.com/philchalmers/mirt
http://cran.r-project.org/web/packages/mirt
Analysis of dichotomous and polytomous response data using latent trait models under the Item Response Theory paradigm. Includes univariate and multivariate one-, two-, three-, and four-parameter logistic models, graded response models, rating scale graded response models, generalized partial credit models, nominal models, multiple choice models, and multivariate partially-compensatory models. These can be used in an exploratory or confirmatory manner with optional user defined linear constraints. Exploratory models can be estimated via quadrature or stochastic methods, a generalized confirmatory bi-factor analysis is included, and confirmatory models can be fit with a Metropolis-Hastings Robbins-Monro algorithm which can include polynomial or product constructed latent traits. Additionally, multiple group analysis may be performed for unidimensional or multidimensional item response models for detecting differential item functioning.
Maintainer:
Phil Chalmers
Author(s): Phil Chalmers [aut, cre]
License: GPL (>= 2)
Uses: GPArotation, lattice, MASS, Matrix, mvtnorm, numDeriv, psych, Rcpp, plink
Released 7 months ago.
