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 "onlineforecast: An R package for adaptive and recursive forecasting" <https://journal.r-project.org/articles/RJ-2023-031/>.
Version: 1.0.2 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 (≥ 3.0.0), data.table, plotly Published: 2023-10-12 DOI: 10.32614/CRAN.package.onlineforecast Author: Peder Bacher [cre], Hjorleifur G Bergsteinsson [aut] Maintainer: Peder Bacher <pbac at dtu.dk> BugReports: https://lab.compute.dtu.dk/packages/onlineforecast/-/issues License: GPL-3 URL: https://onlineforecasting.org NeedsCompilation: yes Citation: onlineforecast citation info In views: TimeSeries CRAN checks: onlineforecast results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=onlineforecast to link to this page.
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