Package: plink
Version: 1.5-1
Date: 2017-04-26
Title: IRT Separate Calibration Linking Methods
Depends: R (>= 3.3.3), methods, lattice
Imports: MASS, statmod
Author: Jonathan P. Weeks <weeksjp@gmail.com>
Maintainer: Jonathan P. Weeks <weeksjp@gmail.com>
Description: Item response theory based methods are used to compute
        linking constants and conduct chain linking of unidimensional
        or multidimensional tests for multiple groups under a common
        item design.  The unidimensional methods include the Mean/Mean,
        Mean/Sigma, Haebara, and Stocking-Lord methods for dichotomous
        (1PL, 2PL and 3PL) and/or polytomous (graded response, partial
        credit/generalized partial credit, nominal, and multiple-choice
        model) items.  The multidimensional methods include the least
        squares method and extensions of the Haebara and Stocking-Lord
        method using single or multiple dilation parameters for
        multidimensional extensions of all the unidimensional
        dichotomous and polytomous item response models.  The package
        also includes functions for importing item and/or ability
        parameters from common IRT software, conducting IRT true score
        and observed score equating, and plotting item response
        curves/surfaces, vector plots, information plots, and comparison 
        plots for examining parameter drift.
LazyLoad: Yes
LazyData: Yes
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-04-26 11:36:15 UTC; Jonathan
Repository: CRAN
Date/Publication: 2017-04-26 16:36:59 UTC
Built: R 3.6.3; ; 2020-08-05 01:35:18 UTC; windows
