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NNS

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Nonlinear Nonparametric Statistics

View on CRAN: Click here

Download and install NNS package within the R console
Install from CRAN:

 install.packages("NNS")

Install from Github:

 library("remotes")

                        install_github("cran/NNS")

Install by package version:

 library("remotes")

                        install_version("NNS", "11.6.4")

Attach the package and use:

 library("NNS")

Maintained by
Fred Viole
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2016-04-05

Latest Update: 2025-07-15

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).

How to cite:

Fred Viole (2016). NNS: Nonlinear Nonparametric Statistics. R package version 11.6.4, https://cran.r-project.org/web/packages/NNS. Accessed 06 Mar. 2026.

Previous versions and publish date:

0.1.1 (2016-04-06 15:56), 0.1.3 (2016-04-21 22:12), 0.1.6 (2016-05-11 06:18), 0.1.9.2 (2016-06-14 20:34), 0.1.9.4 (2016-07-30 09:30), 0.1.9 (2016-05-29 16:48), 0.1 (2016-04-05 08:14), 0.2.0 (2016-08-18 10:02), 0.2.1 (2016-09-13 21:19), 0.2.2 (2016-09-29 08:02), 0.2.3 (2016-10-21 18:41), 0.2.4 (2016-11-28 08:21), 0.2.5 (2017-01-11 00:39), 0.2.6 (2017-02-12 08:31), 0.3.0.1 (2017-03-11 18:56), 0.3.0 (2017-03-10 00:43), 0.3.1 (2017-03-31 18:24), 0.3.2 (2017-05-01 12:19), 0.3.3 (2017-06-03 00:22), 0.3.4 (2017-06-27 17:50), 0.3.5 (2017-07-23 18:24), 0.3.6 (2017-08-15 23:39), 0.3.7 (2017-09-30 20:47), 0.3.8.1 (2017-12-08 17:07), 0.3.8.2 (2018-01-08 20:57), 0.3.8.3 (2018-02-16 20:06), 0.3.8.4 (2018-03-17 07:21), 0.3.8.6 (2018-04-16 13:11), 0.3.8.7 (2018-05-15 18:46), 0.3.8.8 (2019-03-04 14:20), 0.3.8 (2017-11-13 06:29), 0.3.9 (2019-04-15 16:22), 0.4.0 (2019-05-14 20:30), 0.4.1 (2019-06-10 23:40), 0.4.2 (2019-06-11 18:20), 0.4.3 (2019-07-19 18:40), 0.4.4 (2019-08-08 17:50), 0.4.5 (2019-09-09 18:40), 0.4.6 (2019-10-07 17:40), 0.4.7.1 (2019-11-21 01:00), 0.4.7 (2019-11-19 19:20), 0.4.8 (2020-01-08 11:00), 0.4.9 (2020-02-13 18:00), 0.5.0 (2020-03-17 15:40), 0.5.1 (2020-04-15 20:20), 0.5.2.1 (2020-05-19 16:00), 0.5.2 (2020-05-17 17:50), 0.5.3 (2020-06-20 00:50), 0.5.4.1 (2020-07-01 14:00), 0.5.4.2 (2020-07-01 15:10), 0.5.4.3 (2020-08-01 02:20), 0.5.4 (2020-06-29 18:30), 0.5.5 (2020-09-02 08:50), 0.5.6 (2020-12-03 19:50), 0.5.7 (2021-01-05 15:20), 0.6.1 (2021-03-15 02:50), 0.6.2 (2021-03-15 13:50), 0.6.3.1 (2021-04-20 23:30), 0.6.3.2 (2021-04-21 11:30), 0.6 (2021-02-04 06:50), 0.7.0.1 (2021-05-27 02:20), 0.7.0 (2021-05-25 18:00), 0.7.1 (2021-06-26 01:20), 0.7.2 (2021-08-06 23:40), 0.8.0 (2021-09-13 17:30), 0.8.1 (2021-09-20 20:30), 0.8.2 (2021-09-27 16:00), 0.8.3 (2021-11-23 17:30), 0.8.4.1 (2022-01-13 11:12), 0.8.4 (2022-01-12 14:52), 0.8.5 (2022-03-08 17:30), 0.8.61 (2022-04-05 00:50), 0.8.70 (2022-04-24 16:30), 0.9.0 (2022-08-06 09:30), 0.9.1 (2022-08-22 09:50), 0.9.2.1 (2022-09-29 13:10), 0.9.2 (2022-09-23 22:00), 0.9.3 (2022-11-03 23:20), 0.9.4 (2022-12-01 20:30), 0.9.5 (2023-01-08 01:20), 0.9.6.1 (2023-03-08 17:40), 0.9.6 (2023-03-08 09:50), 0.9.7 (2023-04-11 22:50), 0.9.8 (2023-05-17 08:30), 0.9.9.1 (2023-06-15 06:30), 0.9.9 (2023-05-19 11:50), 10.0 (2023-07-15 23:30), 10.1 (2023-08-26 15:50), 10.2 (2023-10-03 15:00), 10.3 (2023-11-10 11:00), 10.4 (2023-11-27 20:20), 10.5 (2024-01-10 11:23), 10.6 (2024-02-20 09:10), 10.7 (2024-03-07 01:10), 10.8.1 (2024-05-11 19:33), 10.8.2 (2024-05-12 10:03), 10.8 (2024-04-19 09:02), 10.9.1 (2024-08-23 17:20), 10.9.2 (2024-09-06 16:30), 10.9.3 (2024-10-14 17:40), 10.9.4 (2024-12-02 19:10), 10.9.5 (2024-12-16 18:50), 10.9.6 (2024-12-17 18:40), 10.9 (2024-08-19 08:50), 11.0 (2025-01-10 19:30), 11.1 (2025-02-17 21:00), 11.2 (2025-03-25 21:50), 11.3 (2025-04-28 16:20), 11.4.1 (2025-07-15 18:10), 11.4 (2025-07-08 12:50), 11.5 (2025-08-20 07:02), 11.6.1 (2025-10-02 17:00), 11.6.2 (2025-10-04 11:00), 11.6.3 (2025-11-28 14:30), 11.6 (2025-09-27 00:30)

Other packages that cited NNS R package

View NNS citation profile

Other R packages that NNS depends, imports, suggests or enhances

View NNS dependency map

Complete documentation for NNS

View documentation PDF

Functions, R codes and Examples using the NNS R package

Some associated functions: Co.LPM . Co.UPM . D.LPM . D.UPM . LPM.VaR . LPM . LPM.ratio . NNS.ANOVA . NNS.ARMA . NNS.ARMA.optim . NNS.CDF . NNS.FSD . NNS.FSD.uni . NNS.PDF . NNS.SD.efficient.set . NNS.SSD . NNS.SSD.uni . NNS.TSD . NNS.TSD.uni . NNS.VAR . NNS.boost . NNS.caus . NNS.copula . NNS.dep . NNS.diff . NNS.distance . NNS.gravity . NNS.meboot . NNS.mode . NNS.moments . NNS.norm . NNS.nowcast . NNS.part . NNS.reg . NNS.seas . NNS.stack . NNS.term.matrix . NNS_bin . PM.matrix . UPM.VaR . UPM . UPM.ratio . dy.d_ . dy.dx .
Some associated R codes: ANOVA.R . ARMA.R . ARMA_optim.R . Binary_ANOVA.R . Boost.R . Causal_matrix.R . Causation.R . Central_tendencies.R . Copula.R . Dependence.R . Dependence_matrix.R . FSD.R . Internal_Functions.R . LPM_UPM_VaR.R . Multivariate_Regression.R . NNS_Distance.R . NNS_VAR.R . NNS_meboot.R . NNS_term_matrix.R . Normalization.R . Nowcast.R . Numerical_Differentiation.R . Partial_Moments.R . Partition_Map.R . RcppExports.R . Regression.R . SD_Efficient_Set.R . SSD.R . Seasonality_Test.R . Stack.R . TSD.R . Uni_Causation.R . Uni_SD_Routines.R . dy_d_wrt.R . dy_dx.R . gvload.R . Full NNS package functions and examples

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