Package: onlineforecast
Type: Package
Title: Forecast Modelling for Online Applications
Version: 1.0.1
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), pbs,
        digest
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, R.rsp, testthat (>= 3.0.0), data.table,
        plotly
VignetteBuilder: knitr
RoxygenNote: 7.1.2
URL: https://onlineforecasting.org
BugReports: https://lab.compute.dtu.dk/packages/onlineforecast/-/issues
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2022-05-09 13:35:01 UTC; pbac
Author: Peder Bacher [cre],
  Hjorleifur G Bergsteinsson [aut]
Maintainer: Peder Bacher <pbac@dtu.dk>
Repository: CRAN
Date/Publication: 2022-05-10 09:30:05 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2022-05-11 12:12:14 UTC; unix
Archs: onlineforecast.so.dSYM
