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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 |
| 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 |
| 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 |
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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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