Package: mycaas 0.0.1

mycaas: My Computerized Adaptive Assessment

Implementation of adaptive assessment procedures based on Knowledge Space Theory (KST) and Formal Psychological Assessment (FPA) frameworks. An adaptive assessment is a type of evaluation that adjusts the difficulty and nature of subsequent questions based on the test-taker's responses to previous ones. The package contains functions to perform and simulate an adaptive assessment. Moreover, it is integrated with two 'Shiny' interfaces, making it both accessible and user-friendly. The package has been funded by the European Union - NextGenerationEU and by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.5, project “RAISE - Robotics and AI for Socio-economic Empowerment” (ECS00000035).

Authors:Andrea Brancaccio [aut, cph, cre], Umberto Granziol [aut, ctb]

mycaas_0.0.1.tar.gz
mycaas_0.0.1.zip(r-4.5)mycaas_0.0.1.zip(r-4.4)mycaas_0.0.1.zip(r-4.3)
mycaas_0.0.1.tgz(r-4.4-any)mycaas_0.0.1.tgz(r-4.3-any)
mycaas_0.0.1.tar.gz(r-4.5-noble)mycaas_0.0.1.tar.gz(r-4.4-noble)
mycaas_0.0.1.tgz(r-4.4-emscripten)mycaas_0.0.1.tgz(r-4.3-emscripten)
mycaas.pdf |mycaas.html
mycaas/json (API)
NEWS

# Install 'mycaas' in R:
install.packages('mycaas', repos = c('https://brancaccioandrea.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/brancaccioandrea/mycaas/issues

Datasets:

On CRAN:

2.30 score 232 downloads 10 exports 59 dependencies

Last updated 2 months agofrom:dc30358822. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winNOTENov 12 2024
R-4.5-linuxNOTENov 12 2024
R-4.4-winNOTENov 12 2024
R-4.4-macNOTENov 12 2024
R-4.3-winNOTENov 12 2024
R-4.3-macNOTENov 12 2024

Exports:assessmenthalf_splitperformance_simulationplot.assessmentprint_questionrun_Assessmentrun_Practicestopping_criterionsummary.assessmentupdating

Dependencies:base64encbslibcachemclicolorspacecommonmarkcpp11crayondigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2gluegtablehtmltoolshttpuvigraphisobandjquerylibjsonlitelabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisesR6rappdirsRColorBrewerRcppRcppParallelrlangrPrefsassscalesshinysourcetoolstibbletidyselectutf8vctrsviridisLitewithrxtable