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 and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).

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Description file content

Package
NNS
Type
Package
Title
Nonlinear Nonparametric Statistics
Version
0.3.8.7
Date
2018-05-15
Author
Fred Viole
Maintainer
Fred Viole
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 and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
License
GPL-3
LazyData
TRUE
RoxygenNote
6.0.1
Depends
R (>= 3.3.0), data.table, rgl, stringr
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-05-15 15:40:45 UTC; Fred Viole
Repository
CRAN
Date/Publication
2018-05-15 16:46:20 UTC

install.packages('NNS')

0.3.8.7

4 months ago

Fred Viole

GPL-3

Depends on

R (>= 3.3.0), data.table, rgl, stringr

Suggests

knitr, rmarkdown

Discussions