Fitting, cross-validating, and predicting with Bayesian Knowledge Tracing (BKT) models. It is designed for analyzing educational datasets to trace student knowledge over time. The package includes functions for fitting BKT models, evaluating their performance using various metrics, and making predictions on new data. It provides functionality similar to the 'Python' package 'pyBKT' authored by Zachary A. Pardos (zp@berkeley.edu) at <https://github.com/CAHLR/pyBKT>.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | RCurl, parallel, methods, stats, utils |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-09-05 |
| DOI: | 10.32614/CRAN.package.BKT |
| Author: | Yuhao Yuan [aut, cre], Biying Zhou [aut], Feng Ji [aut] |
| Maintainer: | Yuhao Yuan <yuanyuhaoapply at 163.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | BKT results |
| Reference manual: | BKT.html , BKT.pdf |
| Package source: | BKT_0.1.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | BKT archive |
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