onlineVAR: Online Fitting of Time-Adaptive Lasso Vector Auto Regression

Functions for recursive online fitting of time-adaptive lasso vector auto regression. A recursive coordinate descent algorithm is used to estimate sparse vector auto regressive models and exponential forgetting is applied to allow model changes. Details can be found in Jakob W. Messner and Pierre Pinson (2018). "Online adaptive LASSO estimation in Vector Auto Regressive models for wind power forecasting in high dimension". International Journal of Forecasting, in press. <doi:10.1016/j.ijforecast.2018.02.001>.

Version: 0.1-1
Depends: R (≥ 2.10.0)
Imports: parallel, lattice
Published: 2019-05-08
Author: Jakob Messner [aut, cre]
Maintainer: Jakob Messner <jakob.messner at posteo.net>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Citation: onlineVAR citation info
Materials: NEWS
In views: TimeSeries
CRAN checks: onlineVAR results

Downloads:

Reference manual: onlineVAR.pdf
Package source: onlineVAR_0.1-1.tar.gz
Windows binaries: r-devel: onlineVAR_0.1-1.zip, r-release: onlineVAR_0.1-1.zip, r-oldrel: onlineVAR_0.1-1.zip
OS X binaries: r-release: onlineVAR_0.1-1.tgz, r-oldrel: onlineVAR_0.1-1.tgz
Old sources: onlineVAR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=onlineVAR to link to this page.