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# CITATION 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 "APS" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'APS: Analysing Prediction Stability of Non-Deterministic Prediction Models'
version: 1.0.1
doi: 10.1186/s12859-025-06097-1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.APS
abstract: Provides methods to analyse the stability of non-deterministic prediction
  models. Prediction stability is quantified either as data-based prediction stability
  (phi) or as model-based prediction stability (psi). The package implements measures
  for categorical, ordinal, and metric predictions based on repeated model fitting
  and corresponding predictions. Methods are based on Lange et al. (2025) <https://doi.org/10.1186/s12859-025-06097-1>.
authors:
- family-names: Lange
  given-names: Thomas Martin
  email: thomas.lange@uni-goettingen.de
  orcid: https://orcid.org/0000-0003-4351-7950
preferred-citation:
  type: article
  title: 'optRF: Optimising random forest stability by determining the optimal number
    of trees'
  authors:
  - family-names: Lange
    given-names: Thomas M.
  - family-names: Gültas
    given-names: Mehmet
  - family-names: Schmitt
    given-names: Armin O.
  - family-names: Heinrich
    given-names: Felix
  journal: BMC Bioinformatics
  year: '2025'
  doi: 10.1186/s12859-025-06097-1
repository: https://tmlange.r-universe.dev
commit: 4a3d85cec17960f5be653ebf433624186819e341
date-released: '2026-04-24'
contact:
- family-names: Lange
  given-names: Thomas Martin
  email: thomas.lange@uni-goettingen.de
  orcid: https://orcid.org/0000-0003-4351-7950