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rrat  

Robust Regression with Asymmetric Heavy-Tail Noise Distributions
View on CRAN: Click here


Download and install rrat package within the R console
Install from CRAN:
install.packages("rrat")

Install from Github:
library("remotes")
install_github("cran/rrat")

Install by package version:
library("remotes")
install_version("rrat", "1.0.0")



Attach the package and use:
library("rrat")
Maintained by
Yi He
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-07
Latest Update: 2019-10-07
Description:
Implementation of Robust Regression tailored to deal with Asymmetric noise Distribution, which was originally proposed by Takeuchi & Bengio & Kanamori (2002) . In addition, this implementation is extended as introducing potential feature regularization by LASSO etc.
How to cite:
Yi He (2019). rrat: Robust Regression with Asymmetric Heavy-Tail Noise Distributions. R package version 1.0.0, https://cran.r-project.org/web/packages/rrat. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Complete documentation for rrat
Functions, R codes and Examples using the rrat R package
Some associated functions: rrat . 
Some associated R codes: predict.rrat.R . print.rrat.R . rrat.R . rrat.default.R .  Full rrat package functions and examples
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