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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 "NNS" in publications use:'
type: software
license: GPL-3.0-only
title: 'NNS: Nonlinear Nonparametric Statistics'
version: '13.0'
doi: 10.32614/CRAN.package.NNS
abstract: 'NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the
  fundamental elements of variance that asymptotically approximate the area under
  f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear
  equivalences. Designed for real-world data that violates symmetry, linearity, or
  distributional assumptions, NNS delivers a comprehensive suite of advanced statistical
  techniques, including: Numerical integration, Numerical differentiation, Clustering,
  Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality,
  Autoregressive modeling, Normalization, Stochastic superiority / dominance and Advanced
  Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013),
  Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995, Second
  edition: <https://ovvo-financial.github.io/NNS/book/>).'
authors:
- family-names: Viole
  given-names: Fred
  email: ovvo.open.source@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/OVVO-Financial/NNS
commit: c96cd5bd4adb1fa9816aa05d70cbbfc0e7294717
url: https://github.com/OVVO-Financial/NNS
date-released: '2026-06-30'
contact:
- family-names: Viole
  given-names: Fred
  email: ovvo.open.source@gmail.com