sr-package {sr}R Documentation

sr: Smooth Regression - The Gamma Test and Tools

Description

Finds causal connections in precision data, finds lags and embeddings in time series, guides training of neural networks and other smooth models, evaluates their performance, gives a mathematically grounded answer to the over-training problem. Smooth regression is based on the Gamma test, which measures smoothness in a multivariate relationship. Causal relations are smooth, noise is not. 'sr' includes the Gamma test and search techniques that use it. References: Evans & Jones (2002) doi:10.1098/rspa.2002.1010, AJ Jones (2004) doi:10.1007/s10287-003-0006-1.

Author(s)

Maintainer: Wayne Haythorn support@smoothregression.com

Authors:

Other contributors:

See Also

Useful links:


[Package sr version 0.1.0 Index]