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pminternal: Internal Validation of Clinical Prediction Models
Conduct internal validation of a clinical prediction model for a binary outcome. Produce bias corrected performance metrics (c-statistic, Brier score, calibration intercept/slope) via bootstrap (simple bootstrap, bootstrap optimism, .632 optimism) and cross-validation (CV optimism, CV average). Also includes functions to assess model stability via bootstrap resampling. See Steyerberg et al. (2001) <doi:10.1016/s0895-4356(01)00341-9>; Harrell (2015) <doi:10.1007/978-3-319-19425-7>; Riley and Collins (2023) <doi:10.1002/bimj.202200302>.
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Package details |
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| Author | Stephen Rhodes [aut, cre, cph] |
| Maintainer | Stephen Rhodes <steverho89@gmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://github.com/stephenrho/pminternal https://stephenrho.github.io/pminternal/ |
| Package repository | View on CRAN |
| Installation |
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