onlineforecast: 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" <doi:10.1016/j.enbuild.2013.04.022>.

Version: 0.9.3
Depends: R (≥ 3.0.0)
Imports: Rcpp (≥ 0.12.18), R6 (≥ 2.2.2), splines (≥ 3.1.1), pbs, digest
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, R.rsp, testthat (≥ 2.1.0), data.table, plotly
Published: 2020-09-15
Author: Peder Bacher [cre], Hjorleifur G Bergsteinsson [aut]
Maintainer: Peder Bacher <pbac at>
License: GPL-3
NeedsCompilation: yes
Citation: onlineforecast citation info
CRAN checks: onlineforecast results


Reference manual: onlineforecast.pdf
Vignettes: Forecast evaluation
Setup and use onlineforecast models
Setup of data for an onlineforecast model
Package source: onlineforecast_0.9.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: onlineforecast_0.9.3.tgz, r-oldrel: onlineforecast_0.9.3.tgz


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