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>.
Version: |
0.1.0 |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2025-04-23 |
Author: |
Michael Lindon [aut, cre] |
Maintainer: |
Michael Lindon <michael.s.lindon at gmail.com> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
README, NEWS |
CRAN checks: |
avlm results |
Documentation:
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