Package: NNS Type: Package Title: Nonlinear Nonparametric Statistics Version: 13.0 Date: 2026-06-30 Authors@R: c( person("Fred", "Viole", role=c("aut","cre"), email="ovvo.open.source@gmail.com"), person("Roberto", "Spadim", role="ctb"), person("Rasheed", "Khoshnaw", role ="ctb") ) Maintainer: Fred Viole Description: 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: ). BugReports: https://github.com/OVVO-Financial/NNS/issues License: GPL-3 URL: https://github.com/OVVO-Financial/NNS Depends: R (>= 3.6.0) Imports: Rcpp, RcppParallel Suggests: knitr, rgl, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr LinkingTo: Rcpp, RcppParallel SystemRequirements: GNU make Config/testthat/edition: 3 RoxygenNote: 7.2.3 Encoding: UTF-8 NeedsCompilation: yes Packaged: 2026-06-30 19:27:39 UTC; root Author: Fred Viole [aut, cre], Roberto Spadim [ctb], Rasheed Khoshnaw [ctb] Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2026-06-30 19:12:21 UTC RemoteUrl: https://github.com/cran/NNS RemoteRef: HEAD RemoteSha: c96cd5bd4adb1fa9816aa05d70cbbfc0e7294717