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srsbench  

Evaluation Metrics for Spaced Repetition Schedulers
View on CRAN: Click here


Download and install srsbench package within the R console
Install from CRAN:
install.packages("srsbench")

Install from Github:
library("remotes")
install_github("cran/srsbench")

Install by package version:
library("remotes")
install_version("srsbench", "0.1")



Attach the package and use:
library("srsbench")
Maintained by
Christos Longros
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-19
Latest Update: 2026-07-19
Description:
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.
How to cite:
Christos Longros (2026). srsbench: Evaluation Metrics for Spaced Repetition Schedulers. R package version 0.1, https://cran.r-project.org/web/packages/srsbench. Accessed 13 Oct. 2026.
Previous versions and publish date:
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