Package: gt4ireval 2.0
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.
Authors:
gt4ireval_2.0.tar.gz
gt4ireval_2.0.zip(r-4.5)gt4ireval_2.0.zip(r-4.4)gt4ireval_2.0.zip(r-4.3)
gt4ireval_2.0.tgz(r-4.5-any)gt4ireval_2.0.tgz(r-4.4-any)gt4ireval_2.0.tgz(r-4.3-any)
gt4ireval_2.0.tar.gz(r-4.5-noble)gt4ireval_2.0.tar.gz(r-4.4-noble)
gt4ireval_2.0.tgz(r-4.4-emscripten)gt4ireval_2.0.tgz(r-4.3-emscripten)
gt4ireval.pdf |gt4ireval.html✨
gt4ireval/json (API)
| # Install 'gt4ireval' in R: |
| install.packages('gt4ireval', repos = c('https://julian-urbano.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/julian-urbano/gt4ireval/issues
- adhoc3 - TREC-3 Ad hoc track.
- synthetic4 - Synthetic dataset no. 4.
Last updated 7 years agofrom:8ec8ebbb42. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 27 2025 |
| R-4.5-win | OK | Jan 27 2025 |
| R-4.5-mac | OK | Jan 27 2025 |
| R-4.5-linux | OK | Jan 27 2025 |
| R-4.4-win | OK | Jan 27 2025 |
| R-4.4-mac | OK | Jan 27 2025 |
| R-4.3-win | OK | Jan 27 2025 |
| R-4.3-mac | OK | Jan 27 2025 |
Exports:dstudygstudygt2asensgt2majorgt2minorgt2powergt2rmsegt2rsensgt2taugt2tauAP
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| TREC-3 Ad hoc track. | adhoc3 |
| D-study (Decision) | dstudy |
| G-study (Generalizability) | gstudy |
| Map GT-based Indicators onto Data-based Indicators | gt2asens gt2major gt2minor gt2power gt2rmse gt2rsens gt2tau gt2tauAP |
| Synthetic dataset no. 4. | synthetic4 |
