Package: plink
Version: 1.3-1
Date: 2011-07-25
Title: IRT Separate Calibration Linking Methods
Depends: R (>= 2.13.1), methods, lattice
Imports: MASS, statmod
Author: Jonathan P. Weeks <weeksjp@gmail.com>
Maintainer: Jonathan P. Weeks <weeksjp@gmail.com>
Description: This package uses item response theory methods 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, and comparison plots for
examining parameter drift.
LazyLoad: Yes
LazyData: Yes
License: GPL (>= 2)
Packaged: 2011-07-25 13:40:13 UTC; Jonathan Weeks
Repository: CRAN
Date/Publication: 2011-07-25 20:06:35

Package: plink
Version: 1.5-0
Date: 2017-04-04
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: 2017-04-07 14:33:11 UTC; Jonathan
Repository: CRAN
Date/Publication: 2017-04-07 17:05:38 UTC