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 < https://onlineforecasting.org> and the paper "Short-term heat load forecasting for single family houses" .


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Reference manual

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install.packages("onlineforecast")

0.9.3 by Peder Bacher, a month ago


https://onlineforecasting.org


Report a bug at https://lab.compute.dtu.dk/packages/onlineforecast/-/issues


Browse source code at https://github.com/cran/onlineforecast


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