conformalpvalue: Computes Conformal p-Values
Computes marginal conformal p-values using conformal prediction in binary classification tasks. Conformal prediction is a framework that augments machine learning algorithms with a measure of uncertainty, in the form of prediction regions that attain a user-specified level of confidence. This package specifically focuses on providing conformal p-values that can be used to assess the confidence of the classification predictions. For more details, see Tyagi and Guo (2023) <https://proceedings.mlr.press/v204/tyagi23a.html>.
Version: |
0.1.0 |
Imports: |
e1071, stats |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2023-10-05 |
Author: |
Chhavi Tyagi [aut, cre] |
Maintainer: |
Chhavi Tyagi <tyagi.chhavi2222 at gmail.com> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
README |
CRAN checks: |
conformalpvalue results |
Documentation:
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