Forecast Modelling for Online Applications

A framework for fitting adaptive forecasting models. Provides a way to use forecasts as input to models, e.g. weather forecasts for energy related forecasting. The models can be fitted recursively and can easily be setup for updating parameters when new data arrives. See the included vignettes, the website <> and the paper "Short-term heat load forecasting for single family houses" .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.9.3 by Peder Bacher, a year ago

Report a bug at

Browse source code at

Authors: Peder Bacher [cre] , Hjorleifur G Bergsteinsson [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, R6, splines, pbs, digest

Suggests knitr, rmarkdown, R.rsp, testthat, data.table, plotly

Linking to Rcpp, RcppArmadillo

See at CRAN