Package: rirt
Type: Package
Title: Item Response Theory simulation and estimation
Version: 1.3.1
Author: Stephane Germain <germste@gmail.com>, 
   Belkacem Abdous <belkacem.abdous@msp.ulaval.ca>,
   Pierre Valois <pierre.valois@fse.ulaval.ca>
Maintainer: Stephane Germain <germste@gmail.com>
Description: This package contains functions to estimates the items and
   latent variables from the responses of subjects to a questionnaire.
   The supported dichotomous IRT (Item Response Theory) models are the
   1PLM (one parameter logistic model), the 2PLM (two parameter
   logistic model) and the 3PLM (three parameter logistic model). For
   polytomous items, Bock's nominal model, and Samejima's graded model
   are supported. Two nonparametric methods (kernel regression an
   PMMLE) are also supported.  The estimations methods available are
   the MMLE (marginal maximum likelihood estimator) and the BME (Bayes
   modal estimator, for dichotomous models only) for the parametric
   estimation of items, the PMMLE (Penalized MMLE) and the kernel
   regression (Nadaraya-Watson) for the nonparametric estimation of
   items, and the EAP (expectation a posteriori) and WMLE (Warm's
   maximum likelihood estimator) for the latent variable predictions.
   Methods to generate random items and responses are also provided.
License: GPL version 2 or newer
SystemRequirements: gsl (http://www.gnu.org/software/gsl), libirt
        (http://libirt.sf.net).
Packaged: 2018-08-29 15:01:39 UTC; germains
NeedsCompilation: yes
