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

Title: 'PLINK' (and 'GCTA') File Helpers
Authors@R: person("Xiaoran", "Tong", email = "tongxia1@msu.edu", role = c("aut", "cre"))
Description: Provide function that reads binary genotype produced by 'PLINK' <https://www.cog-genomics.org/plink/1.9/input#bed> into a R matrix, or scan the genotype one variant at a time like apply(), it also provides functions that reads and writes genotype relatedness/kinship matrices created by 'PLINK' <https://www.cog-genomics.org/plink/1.9/distance#make_rel> or 'GCTA' <https://cnsgenomics.com/software/gcta/#MakingaGRM>. Currently it does not support writing back into 'PLINK' binary, it is best used for bringing data produced by 'PLINK' and 'GCTA' into R environment.