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. Preprint: <http://pierrepinson.com/docs/MessnerPinson18.pdf>.

Getting started

Package details

AuthorJakob Messner [aut, cre]
MaintainerJakob Messner <[email protected]>
LicenseGPL-2 | GPL-3
Version0.1-0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("onlineVAR")

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onlineVAR documentation built on March 18, 2018, 2:03 p.m.