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 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

Downloads:

Reference manual: gt4ireval.pdf
Vignettes: gt4ireval
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
OS X El Capitan binaries: r-release: gt4ireval_2.0.tgz
OS X Mavericks binaries: r-oldrel: gt4ireval_2.0.tgz

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