Package: catSurv
Title: Computerized Adaptive Testing for Survey Research
Version: 1.5.0
Authors@R: c(person("Jacob", "Montgomery", email =  "jacob.montgomery@wustl.edu", role = "aut"), person("Erin", "Rossiter", email = "erossite@nd.edu", role = c("aut", "cre")))
Description: 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.
Depends: ltm(>= 1.1.1), R(>= 3.4)
License: GPL-3
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
LazyData: true
RoxygenNote: 7.2.2
SystemRequirements: C++11, GNU make
Suggests: catIrt(>= 0.5.0), catR(>= 3.16), testthat(>= 2.0.1)
BugReports: https://github.com/erossiter/catSurv/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-12-03 19:32:11 UTC; erinrossiter
Author: Jacob Montgomery [aut],
  Erin Rossiter [aut, cre]
Maintainer: Erin Rossiter <erossite@nd.edu>
Repository: CRAN
Date/Publication: 2022-12-03 19:50:02 UTC
Built: R 4.1.1; aarch64-apple-darwin20; 2022-12-03 21:52:24 UTC; unix
Archs: catSurv.so.dSYM
