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gt4ireval: Generalizability Theory for Information Retrieval Evaluation

Provides tools to measure the reliability of an Information Retrieval test collection. It allows users to estimate reliability using Generalizability Theory and map those estimates onto well-known indicators such as Kendall tau correlation or sensitivity.

Version: 2.0
Depends: R (≥ 3.2)
Suggests: testthat, knitr, rmarkdown
Published: 2017-03-06
DOI: 10.32614/CRAN.package.gt4ireval
Author: Julián Urbano [aut, cre]
Maintainer: Julián Urbano <urbano.julian at gmail.com>
BugReports: https://github.com/julian-urbano/gt4ireval/issues
License: MIT + file LICENSE
URL: https://github.com/julian-urbano/gt4ireval/
NeedsCompilation: no
CRAN checks: gt4ireval results

Documentation:

Reference manual: gt4ireval.pdf
Vignettes: gt4ireval

Downloads:

Package source: gt4ireval_2.0.tar.gz
Windows binaries: r-devel: gt4ireval_2.0.zip, r-release: gt4ireval_2.0.zip, r-oldrel: gt4ireval_2.0.zip
macOS binaries: r-release (arm64): gt4ireval_2.0.tgz, r-oldrel (arm64): gt4ireval_2.0.tgz, r-release (x86_64): gt4ireval_2.0.tgz, r-oldrel (x86_64): gt4ireval_2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gt4ireval to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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