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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "predReliability" in publications use:'
type: software
license: GPL-3.0-only
title: 'predReliability: Estimates Reliability of Individual Supervised Learning Predictions'
version: 0.1.0
doi: 10.32614/CRAN.package.predReliability
abstract: An implementation of reliability estimation methods described in the paper
  (Bosnic, Z., & Kononenko, I. (2008) <https://doi.org/10.1007/s10489-007-0084-9>),
  which allows you to test the reliability of a single predicted instance made by
  your model and prediction function. It also allows you to make a correlation test
  to estimate which reliability estimate is the most accurate for your model.
authors:
- family-names: Cof
  given-names: Simon
  email: simon.cof@windowslive.com
repository: https://doeoeoeo.r-universe.dev
commit: 9b76ad84e49a476644b361b561e531a55e7f2266
date-released: '2020-07-07'
contact:
- family-names: Cof
  given-names: Simon
  email: simon.cof@windowslive.com