# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "pintervals" in publications use:' type: software license: MIT title: 'pintervals: Model Agnostic Prediction Intervals' version: 0.7.5 doi: 10.32614/CRAN.package.pintervals abstract: Provides tools for estimating model-agnostic prediction intervals using conformal prediction, bootstrapping, and parametric prediction intervals. The package is designed for ease of use, offering intuitive functions for both binned and full conformal prediction methods, as well as parametric interval estimation with diagnostic checks. Currently only working for continuous predictions. For details on the conformal and bin-conditional conformal prediction methods, see Randahl, Williams, and Hegre (2024) . authors: - family-names: Randahl given-names: David email: david.randahl@pcr.uu.se repository: https://doktorandahl.r-universe.dev commit: f58613b3dabfe52b403b4a9e0c47b6d97d0230f1 date-released: '2025-03-05' contact: - family-names: Randahl given-names: David email: david.randahl@pcr.uu.se