Analysis of dichotomous and polychotomous response data
using latent trait models under the Item Response Theory
paradigm. Includes the multivariate two- and three-parameter
logistic models, confirmatory bifactor analysis, polytomous
exploratory and confirmatory item response models which may
include polynomial or product constructed factors, and
partially-compensatory item response modeling in conjunction
with other IRT models.
'bfactor.R' 'expand.table.R' 'itemplot.R' 'key2binary.R'
'misc.R' 'logLik.R' 'fscores.R' 'mirt-package.R' 'confmirt.R'
'mirt.R' 'polymirt.R' 'simdata.R' 'confmirt.model.R' 'LSAT7.R'
'SAT12.R' 'Science.R'

lattice, psych, MASS, GPArotation, mvtnorm, Matrix

R (>= 2.14), stats4, lattice, MASS, methods
stats4, psych, GPArotation, mvtnorm, Rcpp, plink, Matrix
'bfactor.R' 'expand.table.R' 'itemplot.R' 'key2binary.R'
'misc.R' 'logLik.R' 'fscores.R' 'mirt-package.R' 'confmirt.R'
'mirt.R' 'polymirt.R' 'simdata.R' 'confmirt.model.R'
'read.mirt.R'

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.
stats4, psych, GPArotation, mvtnorm, Rcpp, Matrix
'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'