Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]

Thomas Kiefer [aut, cre], Alexander Robitzsch [aut], Margaret Wu [aut]
c(person("Thomas", "Kiefer", role = c("aut","cre"), email =
"t.kiefer@bifie.at"), person("Alexander", "Robitzsch", role =
c("aut"), email = "a.robitzsch@bifie.at"),
person("Margaret", "Wu", role = "aut"))

mvtnorm, tensor, sfsmisc, GPArotation, psych, Rcpp

The package includes marginal and joint maximum likelihood
estimation of uni- and multidimensional item response models
(Rasch,  2PL, 3PL, Generalized Partial Credit, Multi Facets,
Structured Latent Class Analysis),
fit statistics, standard error estimation, as
well as plausible value imputation and weighted likelihood
estimation of ability.
mvtnorm, CDM (>= 3.4), tensor, sfsmisc, GPArotation, psych,
Rcpp

mvtnorm, CDM (>= 3.4), tensor, sfsmisc, GPArotation, psych,
Rcpp, mirt (>= 1.5), lattice

Includes marginal and joint maximum likelihood
estimation of uni- and multidimensional item response models
(Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets,
Nominal Item Response, Structured Latent Class Analysis,
Mixture Distribution IRT Models, Located Latent Class Models).
Latent regression models and plausible value imputation are
also supported.
stats, graphics, utils, grDevices, methods, Rcpp, lavaan,
WrightMap, tensor, sfsmisc, GPArotation, psych, mvtnorm, msm,
lattice, plyr

GPArotation, graphics, grDevices, lavaan, lattice, methods,
mvtnorm, msm, plyr, psych, Rcpp, sfsmisc, stats, utils, tensor,
WrightMap

GPArotation, graphics, grDevices, lavaan, lattice, MASS,
methods, msm, mvtnorm, plyr, psych, Rcpp, sfsmisc, stats,
utils, tensor, WrightMap

Includes marginal maximum likelihood estimation of uni- and
multidimensional item response models (Rasch, 2PL, 3PL,
Generalized Partial Credit, Multi Facets,
Nominal Item Response, Structured Latent Class Analysis,
Mixture Distribution IRT Models, Located Latent Class Models)
and joint maximum likelihood estimation for models
from the Rasch family.
Latent regression models and plausible value imputation are
also supported.