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outline: none; margin: 0; padding: 0; display: block;\"/\u003e\r\n\r\n\r\n\r\n\r\n[![packageversion](https://img.shields.io/badge/NNS%20version-11.6.5-blue.svg?style=flat-square)](https://github.com/OVVO-Financial/NNS/commits/NNS-Beta-Version)   [![Licence](https://img.shields.io/badge/licence-GPL--3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html)\r\n\r\n\u003ch2 style=\"margin: 0; padding: 0; border: none; height: 40px;\"\u003e\u003c/h2\u003e\r\n\r\n# NNS\r\nNNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental [elements of variance](https://github.com/OVVO-Financial/NNS/blob/NNS-Beta-Version/examples/Partial%20Moments%20Equivalences.md) that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences.\r\n\r\nNNS delivers a comprehensive suite of advanced statistical techniques, including:\r\n  - Numerical Integration \u0026 Numerical Differentiation\r\n  - Partitional \u0026 Hierarchical Clustering\r\n  - Nonlinear Correlation \u0026 Dependence\r\n  - Causal Analysis\r\n  - Nonlinear Regression \u0026 Classification\r\n  - ANOVA\r\n  - Seasonality \u0026 Autoregressive Modeling\r\n  - Normalization \r\n  - Stochastic Dominance\r\n  - Advanced Monte Carlo Sampling\r\n\r\n\r\nCompanion R-package and datasets to: \r\n#### Viole, F. and Nawrocki, D. (2013) \"*Nonlinear Nonparametric Statistics: Using Partial Moments*\" (ISBN: 1490523995)\r\n\r\n\r\n#### For a quantitative finance implementation of NNS, see [OVVO Labs](https://www.ovvolabs.com)\r\n\r\n\r\n## Current Version\r\nCurrent [![NNS](https://img.shields.io/badge/NNS--blue.svg)](https://cran.r-project.org/package=NNS) CRAN version is  [![CRAN\\_Status\\_Badge](https://www.r-pkg.org/badges/version/NNS)](https://www.r-pkg.org/badges/version/NNS)\r\n\r\n## Installation\r\n[![NNS](https://img.shields.io/badge/NNS--blue.svg)](https://cran.r-project.org/package=NNS) requires [![minimal R version](https://img.shields.io/badge/R%3E%3D-3.5.0-6666ff.svg)](https://cran.r-project.org/).  See https://cran.r-project.org/ or [![installr](https://img.shields.io/badge/installr-0.18.0-blue.svg)](https://cran.r-project.org/package=installr) for upgrading to latest R release.\r\n\r\n```r\r\nlibrary(remotes); remotes::install_github('OVVO-Financial/NNS', ref = \"NNS-Beta-Version\")\r\n```\r\nor via CRAN\r\n```r\r\ninstall.packages('NNS')\r\n```\r\n\r\n## Examples\r\nPlease see https://github.com/OVVO-Financial/NNS/blob/NNS-Beta-Version/examples/index.md for basic partial moments equivalences, hands-on statistics, machine learning and econometrics examples.\r\n\r\n\r\n## Citation\r\n```\r\n@Manual{,\r\n    title = {NNS: Nonlinear Nonparametric Statistics},\r\n    author = {Fred Viole},\r\n    year = {2016},\r\n    note = {R package version 11.6.5},\r\n    url = {https://CRAN.R-project.org/package=NNS},\r\n  }\r\n```\r\n\r\n## Thank you for your interest in NNS!\r\n![](https://cranlogs.r-pkg.org/badges/NNS)\r\n![](https://cranlogs.r-pkg.org/badges/grand-total/NNS)\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fovvo-financial%2Fnns","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fovvo-financial%2Fnns","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fovvo-financial%2Fnns/lists"}