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RSCAT
View on CRAN: Click
here
Download and install RSCAT package within the R console
Install from CRAN:
install.packages("RSCAT")
Install from Github:
library("remotes")
install_github("cran/RSCAT")
Install by package version:
library("remotes")
install_version("RSCAT", "1.1.3")
Attach the package and use:
library("RSCAT")
Maintained by
Bingnan Jiang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-12
Latest Update: 2021-10-12
Description:
As an advanced approach to computerized adaptive testing (CAT),
shadow testing (van der Linden(2005) ) dynamically
assembles entire shadow tests as a part of
selecting items throughout the testing process.
Selecting items from shadow tests guarantees the compliance of all content
constraints defined by the blueprint. 'RSCAT' is an R package for the
shadow-test approach to CAT. The objective of
'RSCAT' is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation;
2) Contributing to the academic and scientific community for CAT research.
RSCAT is currently designed for dichotomous items based on the three-parameter logistic (3PL) model.
How to cite:
Bingnan Jiang (2019). RSCAT: Shadow-Test Approach to Computerized Adaptive Testing. R package version 1.1.3, https://cran.r-project.org/web/packages/RSCAT. Accessed 06 Nov. 2024.
Previous versions and publish date:
Other packages that cited RSCAT R package
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Other R packages that RSCAT depends,
imports, suggests or enhances
Complete documentation for RSCAT
Functions, R codes and Examples using
the RSCAT R package
Some associated functions: CATConfig-class . EAPConfig-class . SimConfig-class . SimResult-class . SolverConfig-class . TestConfig-class . launchApp . result2CSV . runSim . scoreMethodConfig . shinyAppServer . shinyAppUI . summary-SimResult-method .
Some associated R codes: EAPConfig.R . SimResult.R . configClasses.R . launchApp.R . runSim.R . scoreMethodConfig.R . shinyAppServer.R . shinyAppUI.R . utilFunctions.R . zzz.R . Full RSCAT package functions and examples
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