Package: mirt
Version: 0.3.0
Date: 2012-08-15
Type: Package
Title: Multidimensional Item Response Theory
Author: Phil Chalmers <rphilip.chalmers@gmail.com>
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
Description: 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,
        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.
Depends: R (>= 2.14), stats4, lattice, MASS, methods
Imports: stats4, psych, GPArotation, mvtnorm, Rcpp, Matrix
Suggests: plink
ByteCompile: yes
LazyLoad: yes
LazyData: yes
LinkingTo: Rcpp
Repository: CRAN
License: GPL (>= 2)
URL: https://github.com/philchalmers/mirt
Collate: 'bfactor.R' 'expand.table.R' 'itemplot.R' 'key2binary.R'
        'fscores.R' 'mirt-package.R' 'confmirt.R' 'mirt.R' 'polymirt.R'
        'simdata.R' '00-classes.R' 'bfactor-methods.R'
        'confmirt-methods.R' 'mirt-methods.R' 'utils.R' 'MHRM.R'
        '01-itemtypes.R' '02-item_methods.R' 'calcLogLik.R' 'EMstep.R'
        'LoadPars.R' 'confmirt.model.R'
Packaged: 2012-08-22 21:59:09 UTC; phil
Date/Publication: 2012-08-23 06:05:29
