Packaged: 2017-06-27 15:35:53 UTC; Fred Viole

Packaged: 2017-07-23 15:10:48 UTC; Fred Viole

Packaged: 2017-08-15 15:54:11 UTC; Fred Viole

Packaged: 2017-09-30 18:13:01 UTC; Fred Viole

Packaged: 2017-12-08 15:48:02 UTC; Fred Viole

Packaged: 2018-01-08 18:57:37 UTC; 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).
Packaged: 2018-02-16 18:56:14 UTC; Fred Viole

Packaged: 2018-03-17 06:05:24 UTC; Fred Viole

Packaged: 2018-04-16 06:03:22 UTC; Fred Viole

Packaged: 2018-05-15 15:40:45 UTC; Fred Viole

Packaged: 2019-03-03 22:45:59 UTC; Fred Viole

Packaged: 2017-11-13 03:24:01 UTC; Fred Viole

Packaged: 2019-04-15 13:36:22 UTC; Fred Viole

Packaged: 2019-05-14 17:26:36 UTC; Fred Viole

Packaged: 2019-06-10 20:44:30 UTC; Fred Viole

Packaged: 2019-06-11 14:01:49 UTC; Fred Viole

Packaged: 2019-07-19 16:13:33 UTC; Fred Viole

Packaged: 2019-08-08 15:27:03 UTC; Fred Viole

Packaged: 2019-09-09 16:22:01 UTC; Fred Viole

Packaged: 2019-10-07 15:12:05 UTC; Fred Viole

Packaged: 2019-11-20 13:32:13 UTC; Fred Viole

Packaged: 2019-11-19 15:34:03 UTC; Fred Viole

Imports: data.table, dtw, meboot, rgl, stringr, tdigest

Imports: data.table, dtw, meboot, Rfast, rgl, stringr, tdigest

Imports: caret, data.table, dtw, meboot, Rfast, rgl, stringr, tdigest

Imports: caret, data.table, dtw, meboot, plyr, Rfast, rgl, stringr,

Imports: caret, data.table, dtw, dynlm, meboot, plyr, Rfast, rgl,

Imports: caret, data.table, dtw, dynlm, meboot, plyr, Quandl, Rfast,