NNS
Nonlinear Nonparametric Statistics
NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental elements of variance that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. NNS delivers a comprehensive suite of advanced statistical techniques, including: 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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
12.0 |
rolling linux/jammy R-4.5 | NNS_12.0.tar.gz |
1.7 MiB |
12.0 |
rolling linux/noble R-4.5 | NNS_12.0.tar.gz |
1.7 MiB |
12.0 |
rolling source/ R- | NNS_12.0.tar.gz |
1.9 MiB |
12.0 |
latest linux/jammy R-4.5 | NNS_12.0.tar.gz |
1.7 MiB |
12.0 |
latest linux/noble R-4.5 | NNS_12.0.tar.gz |
1.7 MiB |
12.0 |
latest source/ R- | NNS_12.0.tar.gz |
1.9 MiB |
12.0 |
2026-04-26 source/ R- | NNS_12.0.tar.gz |
1.9 MiB |
12.0 |
2026-04-23 source/ R- | NNS_12.0.tar.gz |
1.9 MiB |
11.6.5 |
2026-04-09 windows/windows R-4.5 | NNS_11.6.5.zip |
1.9 MiB |
11.2 |
2025-04-20 source/ R- | NNS_11.2.tar.gz |
1.1 MiB |