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: 2026-09-18 06:52:53 UTC; root
Config/pak/sysreqs: cmake make default-jdk libuv1-dev zlib1g-dev
Repository: https://bnjiangece.r-universe.dev
Date/Publication: 2021-10-12 15:40:06 UTC
RemoteUrl: https://github.com/cran/RSCAT
RemoteRef: HEAD
RemoteSha: 4a4f7c54d421df87921e5802f343f3952938186c