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) <>.

Getting started

Package details

AuthorChhavi Tyagi [aut, cre]
MaintainerChhavi Tyagi <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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conformalpvalue documentation built on Oct. 5, 2023, 5:06 p.m.