Package: RSCAT
Title: Shadow-Test Approach to Computerized Adaptive Testing
Version: 1.1.3
Authors@R: c(
  person("Bingnan", "Jiang", email = "bnjiangece@gmail.com", role = c("aut", "cre")),
  person("ACT, Inc.", role = "cph")
  )
Author: Bingnan Jiang [aut, cre],
  ACT, Inc. [cph]
Maintainer: Bingnan Jiang <bnjiangece@gmail.com>
BugReports: https://github.com/act-org/RSCAT/issues
Description: As an advanced approach to computerized adaptive testing (CAT), 
  shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) 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.
Depends: R (>= 3.4.0), rJava, shiny, shinycssloaders, shinyjs
License: CC BY-NC 4.0
Encoding: UTF-8
RoxygenNote: 7.1.1
Imports: Metrics, ggplot2, gridExtra, grid, methods, stats, utils
Collate: 'EAPConfig.R' 'SimResult.R' 'configClasses.R' 'launchApp.R'
        'runSim.R' 'scoreMethodConfig.R' 'shinyAppServer.R'
        'shinyAppUI.R' 'utilFunctions.R' 'zzz.R'
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-10-12 15:29:50 UTC; Bingnan
Repository: CRAN
Date/Publication: 2021-10-12 16:40:06 UTC
Built: R 4.6.0; ; 2026-04-26 14:54:41 UTC; unix
