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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "RSCAT" in publications use:'
type: software
license: CC-BY-NC-4.0
title: 'RSCAT: Shadow-Test Approach to Computerized Adaptive Testing'
version: 1.1.3
doi: 10.32614/CRAN.package.RSCAT
abstract: 'As an advanced approach to computerized adaptive testing (CAT), shadow
  testing (van der Linden(2005) <https://doi.org/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:
- family-names: Jiang
  given-names: Bingnan
  email: bnjiangece@gmail.com
repository: https://bnjiangece.r-universe.dev
repository-code: https://github.com/act-org/RSCAT
commit: 4a4f7c54d421df87921e5802f343f3952938186c
url: https://github.com/act-org/RSCAT
date-released: '2021-10-12'
contact:
- family-names: Jiang
  given-names: Bingnan
  email: bnjiangece@gmail.com