Package: bigIRT 0.1.8

Charles Driver

bigIRT: Fits item response theory models to big data

Fits item response theory models to big data.

Authors:Charles Driver [aut, cre]

bigIRT_0.1.8.tar.gz
bigIRT_0.1.8.zip(r-4.5)bigIRT_0.1.8.zip(r-4.4)bigIRT_0.1.8.zip(r-4.3)
bigIRT_0.1.8.tgz(r-4.4-arm64)bigIRT_0.1.8.tgz(r-4.3-arm64)
bigIRT_0.1.8.tar.gz(r-4.5-noble)bigIRT_0.1.8.tar.gz(r-4.4-noble)
bigIRT.pdf |bigIRT.html✨
bigIRT/json (API)

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

Peer review:

Bug tracker:https://github.com/cdriveraus/bigirt/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.00 score 6 stars 11 scripts 5 exports 56 dependencies

Last updated 2 months agofrom:d6072a8ff9. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-win-x86_64ERROROct 09 2024
R-4.5-linux-x86_64ERROROct 09 2024
R-4.4-win-x86_64ERROROct 09 2024
R-4.4-mac-aarch64ERROROct 09 2024
R-4.3-win-x86_64ERROROct 09 2024
R-4.3-mac-aarch64ERROROct 09 2024

Exports:dropPerfectScoresfitIRTnormaliseIRTsimIRTwleIRT

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedata.tabledescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmizemunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeadersstatmodtensorAtibbleutf8vctrsviridisLitewithr