DIFlasso-package: DIFlasso
In masko-p/DIFlasso: A penalty approach to Differential Item Functioning in Rasch Models
Description
Details
Author(s)
References
See Also
Description
A package to perform DIFlasso, a method to detect DIF (Differential Item Functioning) in Rasch Models. It can handle settings with many covariates and also metric covariates. The method is described is Tutz and Schauberger (2013).
Also a refit function is provided.
Details
The main function is DIFlasso. The method assumes the DIFmodel from Tutz and Schauberger (2013) where a Group Lasso penalty is used for DIF detection.
Computation is based on the function grplasso. refitDIFlasso provides a refit function for DIFlasso. Additionally, plot and print functions are provided.
Author(s)
Gunther Schauberger
gunther.schauberger@stat.uni-muenchen.de
http://www.statistik.lmu.de/~schauberger/
References
Tutz, Gerhard and Schauberger, Gunther (2013): A Penalty Approach to Differential Item Functioning in Rasch Models, Technical Report 134, Department of Statistics, LMU Munich
See Also
DIFlasso, refitDIFlasso, grplasso
masko-p/DIFlasso documentation built on May 21, 2019, 12:42 p.m.
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Description Details Author(s) References See Also
Description
A package to perform DIFlasso, a method to detect DIF (Differential Item Functioning) in Rasch Models. It can handle settings with many covariates and also metric covariates. The method is described is Tutz and Schauberger (2013). Also a refit function is provided.
Details
The main function is DIFlasso. The method assumes the DIFmodel from Tutz and Schauberger (2013) where a Group Lasso penalty is used for DIF detection.
Computation is based on the function grplasso. refitDIFlasso provides a refit function for DIFlasso. Additionally, plot and print functions are provided.
Author(s)
Gunther Schauberger
gunther.schauberger@stat.uni-muenchen.de
http://www.statistik.lmu.de/~schauberger/
References
Tutz, Gerhard and Schauberger, Gunther (2013): A Penalty Approach to Differential Item Functioning in Rasch Models, Technical Report 134, Department of Statistics, LMU Munich
See Also
DIFlasso, refitDIFlasso, grplasso
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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