Newer
Older
Version: 1.0.0
Description: 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 pre-print paper "onlineforecast: An R package for adaptive and recursive forecasting" <arXiv:2109.12915>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Authors@R: c(
person("Peder", "Bacher", email="pbac@dtu.dk", role = "cre"),
person("Hjorleifur G", "Bergsteinsson", email="hgbe@dtu.dk", role = "aut"))
Depends: R (>= 3.0.0)
Imports:
Rcpp (>= 0.12.18),
R6 (>= 2.2.2),
splines (>= 3.1.1),
LinkingTo: Rcpp, RcppArmadillo
Suggests:
knitr,
rmarkdown,
R.rsp,
VignetteBuilder: knitr
RoxygenNote: 7.1.1
BugReports: https://lab.compute.dtu.dk/packages/onlineforecast/-/issues