Methods for decomposing seasonal data: STR (a SeasonalTrend decomposition procedure based on Regression) and Robust STR. In some ways, STR is similar to Ridge Regression and Robust STR can be related to LASSO. They allow for multiple seasonal components, multiple linear covariates with constant, flexible and seasonal influence. Seasonal patterns (for both seasonal components and seasonal covariates) can be fractional and flexible over time; moreover they can be either strictly periodic or have a more complex topology. The methods provide confidence intervals for the estimated components. The methods can be used for forecasting.
Package details 


Author  Alexander Dokumentov, Rob J Hyndman 
Date of publication  20170106 14:44:22 
Maintainer  Alexander Dokumentov <alexander.dokumentov@gmail.com> 
License  GPL (>= 2) 
Version  0.3 
URL  https://bitbucket.org/alexanderdokumentov/strpackage 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.