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sr
View on CRAN: Click
here
Download and install sr package within the R console
Install from CRAN:
install.packages("sr")
Install from Github:
library("remotes")
install_github("cran/sr") Install by package version:
library("remotes")
install_version("sr", "0.1.0") Attach the package and use:
library("sr")
Maintained by
Wayne Haythorn
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-10
Latest Update: 2023-03-10
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>.
How to cite:
Wayne Haythorn (2023). sr: Smooth Regression - The Gamma Test and Tools. R package version 0.1.0, https://cran.r-project.org/web/packages/sr. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Complete documentation for sr
Functions, R codes and Examples using
the sr R package
Some associated functions: fe_search . gamma_histogram . gamma_test . get_Mlist . henon_x . increasing_search . int_to_intMask . mask_histogram . mgls . moving_window_search . select_by_mask . sr-package .
Some associated R codes: fe_search.R . gamma_histogram.R . gamma_test.R . get_Mlist.R . henon_x.R . increasing_search.R . int_to_intMask.R . mask_histogram.R . mgls.R . moving_window_search.R . select_by_mask.R . sr-package.R . Full sr package functions and examples
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