rlmDataDriven: Robust Regression with Data Driven Tuning Parameter

Data driven approach for robust regression estimation in homoscedastic and heteroscedastic context. See Wang et al. (2007), <doi:10.1198/106186007X180156> regarding homoscedastic framework.

Version:	0.4.0
Imports:	stats, MASS, tseries
Published:	2019-10-03
Author:	You-Gan Wang, Benoit Liquet, Aurelien Callens and Na Wang.
Maintainer:	You-Gan Wang <you-gan.wang at qut.edu.au>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation:	no
CRAN checks:	rlmDataDriven results

Documentation:

Reference manual:

rlmDataDriven.pdf

Downloads:

Package source:	rlmDataDriven_0.4.0.tar.gz
Windows binaries:	r-prerel: rlmDataDriven_0.4.0.zip, r-release: rlmDataDriven_0.4.0.zip, r-oldrel: rlmDataDriven_0.4.0.zip
macOS binaries:	r-prerel (arm64): rlmDataDriven_0.4.0.tgz, r-release (arm64): rlmDataDriven_0.4.0.tgz, r-oldrel (arm64): rlmDataDriven_0.4.0.tgz, r-prerel (x86_64): rlmDataDriven_0.4.0.tgz, r-release (x86_64): rlmDataDriven_0.4.0.tgz
Old sources:	rlmDataDriven archive

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