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exhaustiveRasch
View on CRAN: Click
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Download and install exhaustiveRasch package within the R console
Install from CRAN:
install.packages("exhaustiveRasch")
Install from Github:
library("remotes")
install_github("cran/exhaustiveRasch")
Install by package version:
library("remotes")
install_version("exhaustiveRasch", "0.3.7")
Attach the package and use:
library("exhaustiveRasch")
Maintained by
Christian Grebe
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.exhaustiveRasch . https://github.com/chrgrebe/exhaustiveRasch/issues . https://github.com/chrgrebe/exhaustiveRasch . exhaustiveRasch results . exhaustiveRasch.pdf . Working with the exhaustiveRasch package . exhaustiveRasch_0.3.7.tar.gz . exhaustiveRasch_0.3.7.zip . exhaustiveRasch_0.3.7.zip . exhaustiveRasch_0.3.7.zip . exhaustiveRasch_0.3.7.tgz . exhaustiveRasch_0.3.7.tgz . exhaustiveRasch_0.3.7.tgz . exhaustiveRasch_0.3.7.tgz . exhaustiveRasch_0.3.7.tgz . exhaustiveRasch_0.3.7.tgz . https://CRAN.R-project.org/package=exhaustiveRasch .
First Published: 2024-12-17
Latest Update: 2024-12-17
Description:
Automation of the item selection processes for Rasch scales by means of exhaustive search for suitable Rasch models (dichotomous, partial credit, rating-scale) in a list of item-combinations. The item-combinations to test can be either all possible combinations or item-combinations can be defined by several rules (forced inclusion of specific items, exclusion of combinations, minimum/maximum items of a subset of items). Tests for model fit and item fit include ordering of the thresholds, item fit-indices, likelihood ratio test, Martin-Löf test, Wald-like test, person-item distribution, person separation index, principal components of Rasch residuals, empirical representation of all raw scores or Rasch trees for detecting differential item functioning. The tests, their ordering and their parameters can be defined by the user. For parameter estimation and model tests, functions of the packages 'eRm', 'psychotools' or 'pairwise' can be used.
How to cite:
Christian Grebe (2024). exhaustiveRasch: Item Selection and Exhaustive Search for Rasch Models. R package version 0.3.7, https://cran.r-project.org/web/packages/exhaustiveRasch. Accessed 02 Apr. 2025.
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