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rlmDataDriven  

Robust Regression with Data Driven Tuning Parameter
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rlmDataDriven", "0.4.0")



Attach the package and use:
library("rlmDataDriven")
Maintained by
You-Gan Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-17
Latest Update: 2019-10-03
Description:
Data driven approach for robust regression estimation in homoscedastic and heteroscedastic context. See Wang et al. (2007), regarding homoscedastic framework.
How to cite:
You-Gan Wang (2018). rlmDataDriven: Robust Regression with Data Driven Tuning Parameter. R package version 0.4.0, https://cran.r-project.org/web/packages/rlmDataDriven. Accessed 25 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:51), 0.1.0 (2018-09-17 17:10), 0.2.0 (2019-02-13 07:50), 0.2.1 (2019-03-12 15:00), 0.3.0 (2019-05-17 10:51), 0.4.0 (2019-10-03 11:10)
Other packages that cited rlmDataDriven R package
View rlmDataDriven citation profile
Other R packages that rlmDataDriven depends, imports, suggests or enhances
Complete documentation for rlmDataDriven
Functions, R codes and Examples using the rlmDataDriven R package
Some associated functions: DD-internal . plasma . rlmDD . rlmDD_het . whm . 
Some associated R codes: DD-internal.R . rlmDD.R . rlmDD_het.R . whm.R .  Full rlmDataDriven package functions and examples
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