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:

Reference manual:

conformalpvalue.pdf

Downloads:

Package source:	conformalpvalue_0.1.0.tar.gz
Windows binaries:	r-devel: conformalpvalue_0.1.0.zip, r-release: conformalpvalue_0.1.0.zip, r-oldrel: conformalpvalue_0.1.0.zip
macOS binaries:	r-release (arm64): conformalpvalue_0.1.0.tgz, r-oldrel (arm64): conformalpvalue_0.1.0.tgz, r-release (x86_64): conformalpvalue_0.1.0.tgz, r-oldrel (x86_64): conformalpvalue_0.1.0.tgz

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