Package: NNS
Type: Package
Title: Nonlinear Nonparametric Statistics
Version: 10.9.6
Date: 2024-12-16
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: 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).
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: 2024-12-17 03:43:59 UTC; fredv
Author: Fred Viole [aut, cre],
  Roberto Spadim [ctb]
Repository: CRAN
Date/Publication: 2024-12-17 17:40:06 UTC
Built: R 4.4.2; powerpc-apple-darwin10.8.0; 2025-01-10 16:57:41 UTC; unix
