Smooth Regression - The Gamma Test and Tools R package sr version 0.1.0 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>. Software Depends: R (>= 3.5.0) Imports: ggplot2, dplyr, progress, RANN, stats, vdiffr Suggests: knitr, magrittr, nnet, rmarkdown, testthat (>= 3.0.0) Wayne Haythorn <support@smoothregression.com> Comprehensive R Archive Network (CRAN) 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) GPL (>= 3) 2023-03-10 application/tgz https://CRAN.R-project.org/package=sr doi:10.32614/CRAN.package.sr en-US