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: not available, r-release: not available, 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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