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DIFtree
View on CRAN: Click
here
Download and install DIFtree package within the R console
Install from CRAN:
install.packages("DIFtree")
Install from Github:
library("remotes")
install_github("cran/DIFtree")
Install by package version:
library("remotes")
install_version("DIFtree", "3.1.6")
Attach the package and use:
library("DIFtree")
Maintained by
Moritz Berger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-28
Latest Update: 2020-06-05
Description:
Item focussed recursive partitioning for simultaneous selection of items and variables that induce Differential Item Functioning (DIF) in dichotomous or polytomous items.
How to cite:
Moritz Berger (2015). DIFtree: Item Focussed Trees for the Identification of Items in Differential Item Functioning. R package version 3.1.6, https://cran.r-project.org/web/packages/DIFtree. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for DIFtree
Functions, R codes and Examples using
the DIFtree R package
Some associated functions: DIFtree . data_sim_PCM . data_sim_Rasch . plot.DIFtree . predict.DIFtree . summary.DIFtree .
Some associated R codes: DIFtree.R . DIFtree.default.R . data_sim_PCM.R . data_sim_Rasch.R . designlists_logistic.R . get_endnodes.R . info_summary.R . infos_summary.R . lu.R . one_prediction.R . plot.DIFtree.R . predict.DIFtree.R . prepareX.R . ptree.R . ptree_PCM.R . summary.DIFtree.R . tree_Logistic.R . tree_PCM.R . tree_Rasch.R . tree_dif.R . tree_nudif.R . tree_udif.R . whole_prediction.R . Full DIFtree package functions and examples
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