Package: NNS
Type: Package
Title: Nonlinear Nonparametric Statistics
Version: 11.6.3
Date: 2025-11-26
Authors@R: c(
  person("Fred", "Viole", role=c("aut","cre"), email="ovvo.financial.systems@gmail.com"),
  person("Roberto", "Spadim", role=c("ctb"))
  )
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>
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.  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 dominance and Advanced Monte Carlo sampling.  All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
License: GPL-3
BugReports: https://github.com/OVVO-Financial/NNS/issues
Depends: R (>= 3.6.0)
Imports: data.table, doParallel, foreach, quantmod, Rcpp, RcppParallel,
        Rfast, rgl, xts, zoo
Suggests: knitr, 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: 2025-11-26 14:56:56 UTC; fredv
Author: Fred Viole [aut, cre],
  Roberto Spadim [ctb]
Repository: CRAN
Date/Publication: 2025-11-28 13:30:09 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-01-05 19:09:59 UTC; windows
Archs: x64
