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avlm: Safe Anytime Valid Inference for Linear Models
Anytime-valid inference for linear models, namely, sequential t-tests, sequential F-tests, and confidence sequences with time-uniform Type-I error and coverage guarantees. This allows hypotheses to be continuously tested without sacrificing false positive guarantees. It is based on the methods documented in Lindon et al. (2022) <doi:10.48550/arXiv.2210.08589>.
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Package details |
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| Author | Michael Lindon [aut, cre] |
| Maintainer | Michael Lindon <michael.s.lindon@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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