NNS (0.3.2)
Nonlinear Nonparametric Statistics.
http://cran.rproject.org/web/packages/NNS
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 modelling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Maintainer:
Fred Viole
Author(s): Fred Viole
License: GPL3
Uses: data.table, rgl, stringr, knitr, rmarkdown
Released 29 days ago.
16 previous versions
 NNS_0.3.1. Released about 1 month ago.
 NNS_0.3.0.1. Released 3 months ago.
 NNS_0.2.6. Released 4 months ago.
 NNS_0.2.5. Released 5 months ago.
 NNS_0.2.4. Released 6 months ago.
 NNS_0.2.3. Released 7 months ago.
 NNS_0.2.2. Released 8 months ago.
 NNS_0.2.1. Released 9 months ago.
 NNS_0.2.0. Released 10 months ago.
 NNS_0.1.9.4. Released 10 months ago.
 NNS_0.1.9.2. Released 12 months ago.
 NNS_0.1.9. Released about 1 year ago.
 NNS_0.1.6. Released about 1 year ago.
 NNS_0.1.3. Released about 1 year ago.
 NNS_0.1.1. Released about 1 year ago.
 NNS_0.1. Released about 1 year ago.
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