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Nonlinear Nonparametric Statistics

2packages dependsuggested by 1
21.1Kdownloads / year
45.3%test coverage
13/13flavors OK

Overview

About

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/).

Install

Health

CRAN checks
13OK
Slowest check: 6.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
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  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

Downloads

21.1K
CRAN downloads in the past year
Rank #3,317 · ~58/day · ~1.8K/mo
Daily download trend is not available in this view yet.
1.3K30 days
3.4K90 days
21.1K1 year
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Repository

114Stars
29Forks
0Open issues
0Open PRs
0Releases
4,550Commits
7Commit identities
partial-momentsnonlinearnonparametricstatisticsmachine-learningeconometricstime-seriesclustering
4,550 commits · Last activity 2026-08-11 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
98%
Median days to close, 50 most recently updated closed issues
22
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-10-17 · 922026-09-05 · 114
PracticesBeta

6 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/ovvo-financial/nns on 2026-10-11.

Continuous integration (3)
GitHub ActionsR CMD check workflowTravis CI (config file)

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-08-11 · The repository has a site deploy workflow

How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Codexfirst seen 2026-03-15
    Pull request it wrote: opened by a project member
  • Claude Codefirst seen 2026-06-13
    Pull request it wrote: opened by a project member
    Commits: 41 by its own account · at least 39 crediting it in the message
Models named in its commits
  • Claude Opus 4.814 commits · Jul 2026
  • Claude Fable 513 commits · Jul 2026
  • Claude Opus 51 commit · Aug 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing NNS adds 2 packages (2 with compiled code, 2.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppParallel 744 KB.

Depends (1)
R >= 3.6.0
Imports (2)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (3)
Author, Maintainer since 0.1 (2016)
Contributor · added in 13.0
Contributor · added in 0.9.0
Releases (122)

Pick two releases to compare their code metrics.

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Package metadata

First published
2016-04-05
Total releases
122 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.0
Download size
2.0 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NNS")
Viole, F., Khoshnaw, R., & Spadim, R. (2026). NNS: Nonlinear Nonparametric Statistics (Version 13.2) [Computer software]. https://doi.org/10.32614/CRAN.package.NNS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NNS version 13.2 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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