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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | conformalpvalue_0.1.0.tar.gz |
12.1 KiB |
0.1.0 |
rolling linux/noble R-4.5 | conformalpvalue_0.1.0.tar.gz |
12.0 KiB |
0.1.0 |
rolling source/ R- | conformalpvalue_0.1.0.tar.gz |
3.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | conformalpvalue_0.1.0.tar.gz |
12.1 KiB |
0.1.0 |
latest linux/noble R-4.5 | conformalpvalue_0.1.0.tar.gz |
12.0 KiB |
0.1.0 |
latest source/ R- | conformalpvalue_0.1.0.tar.gz |
3.3 KiB |
0.1.0 |
2026-04-26 source/ R- | conformalpvalue_0.1.0.tar.gz |
3.3 KiB |
0.1.0 |
2026-04-23 source/ R- | conformalpvalue_0.1.0.tar.gz |
3.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | conformalpvalue_0.1.0.zip |
15.5 KiB |
0.1.0 |
2025-04-20 source/ R- | conformalpvalue_0.1.0.tar.gz |
3.3 KiB |