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sbrl
View on CRAN: Click
here
Download and install sbrl package within the R console
Install from CRAN:
install.packages("sbrl")
Install from Github:
library("remotes")
install_github("cran/sbrl")
Install by package version:
library("remotes")
install_version("sbrl", "1.4")
Attach the package and use:
library("sbrl")
Maintained by
Hongyu Yang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-15
Latest Update: 2024-03-26
Description:
An efficient implementation of Scalable Bayesian Rule Lists Algorithm, a competitor algorithm for decision tree algorithms; see Hongyu Yang, Cynthia Rudin, Margo Seltzer (2017) . It builds from pre-mined association rules and have a logical structure identical to a decision list or one-sided decision tree. Fully optimized over rule lists, this algorithm strikes practical balance between accuracy, interpretability, and computational speed.
How to cite:
Hongyu Yang (2016). sbrl: Scalable Bayesian Rule Lists Model. R package version 1.4, https://cran.r-project.org/web/packages/sbrl
Previous versions and publish date:
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