Provides methods of computerized adaptive testing for survey researchers. See Montgomery and Rossiter (2020) <doi:10.1093/jssam/smz027>. Includes functionality for data fit with the classic item response methods including the latent trait model, Birnbaum's three parameter model, the graded response, and the generalized partial credit model. Additionally, includes several ability parameter estimation and item selection routines. During item selection, all calculations are done in compiled C++ code.
Version: 1.5.0 Depends: ltm (≥ 1.1.1), R (≥ 3.4) Imports: jsonlite, methods, stats, plyr, Rcpp (≥ 1.0.1), RcppParallel LinkingTo: BH (≥ 1.69.0.1), Rcpp (≥ 1.0.1), RcppArmadillo, RcppGSL (≥ 0.3.6), RcppParallel Suggests: catIrt (≥ 0.5.0), catR (≥ 3.16), testthat (≥ 2.0.1) Published: 2022-12-03 DOI: 10.32614/CRAN.package.catSurv Author: Jacob Montgomery [aut], Erin Rossiter [aut, cre] Maintainer: Erin Rossiter <erossite at nd.edu> BugReports: https://github.com/erossiter/catSurv/issues License: GPL-3 NeedsCompilation: yes SystemRequirements: C++11, GNU make Materials: NEWS CRAN checks: catSurv results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=catSurv to link to this page.
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