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FastRCS  

Fits the FastRCS Robust Multivariable Linear Regression Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FastRCS", "0.0.9")



Attach the package and use:
library("FastRCS")
Maintained by
Kaveh Vakili
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-07-17
Latest Update: 2024-03-06
Description:
The FastRCS algorithm of Vakili and Schmitt (2014) for robust fit of the multivariable linear regression model and outliers detection.
How to cite:
Kaveh Vakili (2013). FastRCS: Fits the FastRCS Robust Multivariable Linear Regression Model. R package version 0.0.9, https://cran.r-project.org/web/packages/FastRCS. Accessed 06 Aug. 2026.
Previous versions and publish date:
0.0.1 (2013-07-17 19:56), 0.0.2 (2014-02-19 18:28), 0.0.3 (2014-04-24 14:49), 0.0.4 (2014-09-27 16:11), 0.0.5 (2014-11-14 00:03), 0.0.6 (2015-01-09 06:06), 0.0.7 (2015-10-18 17:19), 0.0.8 (2018-05-13 21:59), (2026-07-09 08:04)
Other packages that cited FastRCS R package
View FastRCS citation profile
Other R packages that FastRCS depends, imports, suggests or enhances
Complete documentation for FastRCS
Functions, R codes and Examples using the FastRCS R package
Some associated functions: FRCSnumStarts . FastRCS-package . FastRCS . Lemons . plot.FastRCS . quanf . 
Some associated R codes: FastRCS.R .  Full FastRCS package functions and examples
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