srsbench: Evaluation Metrics for Spaced Repetition Schedulers
Calibration and discrimination metrics for spaced-repetition memory models. Provides the sample-weighted binned root mean squared error (RMSE(bins)) used to rank schedulers in the open spaced repetition benchmark, together with log loss, the area under the ROC curve, and calibration curves.
| Version: | 0.1 |
| Suggests: | tinytest |
| Published: | 2026-07-19 |
| DOI: | 10.32614/CRAN.package.srsbench |
| Author: | Christos Longros 
[aut, cre] |
| Maintainer: | Christos Longros <chris.longros at gmail.com> |
| BugReports: | https://github.com/chrislongros/srsbench/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/chrislongros/srsbench |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | srsbench results |
Documentation:
| Reference manual: | srsbench.html , srsbench.pdf |
Downloads:
| Package source: | srsbench_0.1.tar.gz |
| Windows binaries: | r-devel: srsbench_0.1.zip, r-release: srsbench_0.1.zip, r-oldrel: srsbench_0.1.zip |
| macOS binaries: | r-release (arm64): srsbench_0.1.tgz, r-oldrel (arm64): srsbench_0.1.tgz, r-release (x86_64): srsbench_0.1.tgz, r-oldrel (x86_64): srsbench_0.1.tgz |
Linking:
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