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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 the same functionality as the Python package pyBKT authored by Bulut et al. (2023, <doi:10.3390/psych5030050>) and pyBKT can be accessed via the site at <https://github.com/CAHLR/pyBKT>.
| Version: | 0.0.1 |
| Imports: | RCurl, parallel, methods, stats, utils |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-01-30 |
| 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 NEWS |
| CRAN checks: | BKT results |
| Reference manual: | BKT.pdf |
| Package source: | BKT_0.0.1.tar.gz |
| Windows binaries: | r-devel: BKT_0.0.1.zip, r-release: not available, r-oldrel: BKT_0.0.1.zip |
| macOS binaries: | r-release (arm64): BKT_0.0.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): BKT_0.0.1.tgz, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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