mirtCAT: Computerized Adaptive Testing with Multidimensional Item
Response Theory
Provides tools to generate an HTML interface for creating adaptive
and non-adaptive educational and psychological tests using the shiny
package (Chalmers (2016) <doi:10.18637/jss.v071.i05>).
Suitable for applying unidimensional and multidimensional
computerized adaptive tests (CAT) using item response theory methodology and for
creating simple questionnaires forms to collect response data directly in R.
Additionally, optimal test designs (e.g., "shadow testing") are supported
for tests which contain a large number of item selection constraints.
Finally, package contains tools useful for performing Monte Carlo simulations
for studying the behavior of computerized adaptive test banks.
Version: |
1.12.2 |
Depends: |
mirt (≥ 1.37), shiny (≥ 1.0.1) |
Imports: |
lattice, stats, Rcpp, methods, markdown, pbapply, lpSolve |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
shinythemes, parallel, knitr |
Published: |
2022-08-11 |
Author: |
Phil Chalmers
[aut, cre],
Magnus Nordmo
[ctb] |
Maintainer: |
Phil Chalmers <rphilip.chalmers at gmail.com> |
BugReports: |
https://github.com/philchalmers/mirtCAT/issues?state=open |
License: |
GPL (≥ 3) |
URL: |
https://github.com/philchalmers/mirtCAT,
https://github.com/philchalmers/mirtCAT/wiki,
https://groups.google.com/forum/#!forum/mirt-package |
NeedsCompilation: |
yes |
Citation: |
mirtCAT citation info |
Materials: |
README NEWS |
In views: |
Psychometrics |
CRAN checks: |
mirtCAT results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=mirtCAT
to link to this page.