catSurv: Computerized Adaptive Testing for Survey Research

Provides methods of computerized adaptive testing for survey researchers. See Montgomery and Rossiter (2019) <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: 1.1.3
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: 2019-11-19
Author: Jacob Montgomery [aut], Erin Rossiter [aut, cre]
Maintainer: Erin Rossiter <erinrossiter at wustl.edu>
BugReports: https://github.com/erossiter/catSurv/issues
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11, GNU make
Materials: NEWS
CRAN checks: catSurv results

Downloads:

Reference manual: catSurv.pdf
Package source: catSurv_1.1.3.tar.gz
Windows binaries: r-devel: catSurv_1.1.3.zip, r-devel-gcc8: catSurv_1.1.3.zip, r-release: catSurv_1.1.3.zip, r-oldrel: catSurv_1.1.3.zip
OS X binaries: r-release: catSurv_1.1.3.tgz, r-oldrel: catSurv_1.1.3.tgz
Old sources: catSurv archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=catSurv to link to this page.