catSurv

Computerized Adaptive Testing for Survey Research

Provides methods of computerized adaptive testing for survey researchers. 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.

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Description file content

Package
catSurv
Title
Computerized Adaptive Testing for Survey Research
Version
1.0.1
Description
Provides methods of computerized adaptive testing for survey researchers. 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
R(>= 3.4.0)
License
GPL-3
Imports
ltm(>= 1.0.0), methods(>= 3.4.0), stats(>= 3.4.0), Rcpp(>= 0.12.11),
LinkingTo
BH(>= 1.62.0.1), Rcpp(>= 0.12.11), RcppArmadillo, RcppGSL(>= 0.3.2)
LazyData
true
RoxygenNote
6.0.1
SystemRequirements
C++11
Suggests
catIrt(>= 0.5.0), catR(>= 3.12), testthat(>= 1.0.2)
BugReports
https://github.com/erossiter/catSurv/issues
NeedsCompilation
yes
Packaged
2017-06-16 16:33:26 UTC; erinrossiter
Author
Jacob Montgomery [aut], Erin Rossiter [aut, cre]
Maintainer
Erin Rossiter
Repository
CRAN
Date/Publication
2017-06-16 17:59:04 UTC

install.packages('catSurv')

1.0.1

7 days ago

Erin Rossiter

GPL-3

Depends on

R(>= 3.4.0)

Imports

ltm(>= 1.0.0), methods(>= 3.4.0), stats(>= 3.4.0), Rcpp(>= 0.12.11),

Suggests

catIrt(>= 0.5.0), catR(>= 3.12), testthat(>= 1.0.2)

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