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CRAN: Package NNS

NNS: Nonlinear Nonparametric Statistics

Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).

Version: 11.4 Depends: R (≥ 3.6.0) Imports: data.table, doParallel, foreach, quantmod, Rcpp, RcppParallel, Rfast, rgl, xts, zoo LinkingTo: Rcpp, RcppParallel Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-07-08 DOI: 10.32614/CRAN.package.NNS Author: Fred Viole [aut, cre], Roberto Spadim [ctb] Maintainer: Fred Viole <ovvo.financial.systems at gmail.com> BugReports: https://github.com/OVVO-Financial/NNS/issues License: GPL-3 NeedsCompilation: yes SystemRequirements: GNU make Materials: README In views: Econometrics CRAN checks: NNS results Documentation: Downloads: Reverse dependencies: Linking:

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