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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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, dplyr, progress, RANN, stats, vdiffr |
| Suggests: | knitr, magrittr, nnet, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2023-03-10 |
| 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 at smoothregression.com> |
| BugReports: | https://github.com/haythorn/sr/issues |
| License: | GPL (≥ 3) |
| URL: | https://smoothregression.com, https://github.com/haythorn/sr/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | sr results |
| Reference manual: | sr.pdf |
| Vignettes: |
Selecting Predictors with the Gamma Test |
| Package source: | sr_0.1.0.tar.gz |
| Windows binaries: | r-devel: sr_0.1.0.zip, r-release: sr_0.1.0.zip, r-oldrel: sr_0.1.0.zip |
| macOS binaries: | r-release (arm64): sr_0.1.0.tgz, r-oldrel (arm64): sr_0.1.0.tgz, r-release (x86_64): sr_0.1.0.tgz, r-oldrel (x86_64): sr_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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