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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 sr_0.1.0.tar.gz 239.9 KiB
0.1.0 rolling linux/noble R-4.5 sr_0.1.0.tar.gz 239.8 KiB
0.1.0 rolling source/ R- sr_0.1.0.tar.gz 288.4 KiB
0.1.0 latest linux/jammy R-4.5 sr_0.1.0.tar.gz 239.9 KiB
0.1.0 latest linux/noble R-4.5 sr_0.1.0.tar.gz 239.8 KiB
0.1.0 latest source/ R- sr_0.1.0.tar.gz 288.4 KiB
0.1.0 2026-04-26 source/ R- sr_0.1.0.tar.gz 288.4 KiB
0.1.0 2026-04-23 source/ R- sr_0.1.0.tar.gz 288.4 KiB
0.1.0 2026-04-09 windows/windows R-4.5 sr_0.1.0.zip 240.8 KiB
0.1.0 2025-04-20 source/ R- sr_0.1.0.tar.gz 288.4 KiB

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