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NNS

13.2

Nonlinear Nonparametric Statistics

3packages depend
22Kdownloads / year
45.3%test coverage
13/13checks pass

Overview

About
Maintained by Fred VioleFirst published 2016-04-05122 releasesCRAN page ↗GitHub ↗

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: 6.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.13
45.3%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 188 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
31%
Documented parameters
98%
Return-value docs
100%
References docs
78%

Downloads

22K
CRAN downloads in the past year
Rank #2,196 · ~60/day · ~1.8K/mo
Daily download trend is not available in this view yet.
72130 days
8.9K90 days
22K1 year
Compare downloads with other packages →
Also on647 r2u3 autocran51 c2d4u

Repository

Repository
116Stars
30Forks
0Open issues
0Open PRs
0Releases
4,550Commits
7Contributors
partial-momentsnonlinearnonparametricstatisticsmachine-learningeconometricstime-seriesclustering
4,550 commits · Last activity 2026-08-11 · +2.7% stars, 30d

Stars over time

2025-08-21 · 842026-08-10 · 116

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/ovvo-financial/nns on 2026-08-23.

Continuous integration (2)
GitHub ActionsTravis CI
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
Imports (2)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
3direct
0indirect

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor · added in 13.0
Contributor · added in 0.9.0
Package Timeline

122 releases. Pick two to compare their code metrics. R releases are shown for context.

Show 118 earlier events

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
Installed size
not tracked yet
With dependencies
not tracked yet
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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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