Package: RSCAT 1.1.3

Bingnan Jiang

RSCAT: Shadow-Test Approach to Computerized Adaptive Testing

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.

Authors:Bingnan Jiang [aut, cre], ACT, Inc. [cph]

RSCAT_1.1.3.tar.gz
RSCAT_1.1.3.tar.gz(r-4.5-noble)RSCAT_1.1.3.tar.gz(r-4.4-noble)
RSCAT_1.1.3.tgz(r-4.4-emscripten)RSCAT_1.1.3.tgz(r-4.3-emscripten)
RSCAT.pdf |RSCAT.html
RSCAT/json (API)

# Install 'RSCAT' in R:
install.packages('RSCAT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/act-org/rscat/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

openjdk

1.70 score 6 scripts 175 downloads 1 mentions 10 exports 56 dependencies

Last updated 3 years agofrom:4a4f7c54d4. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 15 2024
R-4.5-linuxOKDec 15 2024

Exports:CATConfigEAPConfiglaunchAppresult2CSVrunSimscoreMethodConfigSimConfigSolverConfigsummaryTestConfig

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomefsggplot2gluegridExtragtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoiseMetricsmgcvmimemunsellnlmepillarpkgconfigpromisesR6rappdirsRColorBrewerRcpprJavarlangsassscalesshinyshinycssloadersshinyjssourcetoolstibbleutf8vctrsviridisLitewithrxtable