Package: conformalpvalue 0.1.0

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>.

Authors:Chhavi Tyagi [aut, cre]

conformalpvalue_0.1.0.tar.gz
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conformalpvalue.pdf |conformalpvalue.html
conformalpvalue/json (API)

# Install 'conformalpvalue' in R:
install.packages('conformalpvalue', repos = c('https://chhavi-tyagi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 stars 1 scripts 168 downloads 1 exports 4 dependencies

Last updated 1 years agofrom:393908433c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-winOKOct 09 2024
R-4.5-linuxOKOct 09 2024
R-4.4-winOKOct 09 2024
R-4.4-macOKOct 09 2024
R-4.3-winOKOct 09 2024
R-4.3-macOKOct 09 2024

Exports:conformal_pvalues

Dependencies:classe1071MASSproxy