Nothing
sr: Smooth Regression - The Gamma Test and Tools
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Wayne Haythorn [aut, cre], Antonia Jones [aut] (Principal creator of the Gamma test), Sam Kemp [ctb] (Wrote the original code for the Gamma test in R) |
| Maintainer | Wayne Haythorn <support@smoothregression.com> |
| License | GPL (>= 3) |
| Version | 0.1.0 |
| URL | https://smoothregression.com https://github.com/haythorn/sr/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the sr package in your browser
Any scripts or data that you put into this service are public.
