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
Author: Julián Urbano [aut, cre]
Maintainer: Julián Urbano <urbano.julian at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: gt4ireval results


Reference manual: gt4ireval.pdf
Vignettes: gt4ireval


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


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