GPCMlasso

Differential Item Functioning in Generalized Partial Credit Models

Provides a function to detect Differential Item Functioning (DIF) in Generalized Partial Credit Models (GPCM) and special cases of the GPCM. A joint model is set up where DIF is explicitly parametrized and penalized likelihood estimation is used for parameter selection. The big advantage of the method called GPCMlasso is that several variables can be treated simultaneously and that both continuous and categorical variables can be used to detect DIF.

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Description file content

Package
GPCMlasso
Type
Package
Title
Differential Item Functioning in Generalized Partial Credit Models
Version
0.1-1
Date
2018-02-06
Author
Gunther Schauberger
Maintainer
Gunther Schauberger
Description
Provides a function to detect Differential Item Functioning (DIF) in Generalized Partial Credit Models (GPCM) and special cases of the GPCM. A joint model is set up where DIF is explicitly parametrized and penalized likelihood estimation is used for parameter selection. The big advantage of the method called GPCMlasso is that several variables can be treated simultaneously and that both continuous and categorical variables can be used to detect DIF.
License
GPL (>= 2)
Imports
Rcpp (>= 0.12.4), wordcloud, TeachingDemos, cubature, car, caret, statmod, mvtnorm, mirt, methods
Depends
ltm
LinkingTo
Rcpp, RcppArmadillo
SystemRequirements
C++11
RoxygenNote
6.0.1
NeedsCompilation
yes
Packaged
2018-02-12 16:59:27 UTC; schaubergerg
Repository
CRAN
Date/Publication
2018-02-12 18:23:52 UTC

install.packages('GPCMlasso')

0.1-1

9 days ago

Gunther Schauberger

GPL (>= 2)

Depends on

ltm

Imports

Rcpp (>= 0.12.4), wordcloud, TeachingDemos, cubature, car, caret, statmod, mvtnorm, mirt, methods

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