The *onlineforecast* R package computes new forecasts whenever new observations becomes available by using recursive estimation. The package makes it easy to setup models to be used for online forecasting, where the user can create their own online forecast-set-up with their own inputs. The pacakge is created based on the authors long experience of formulating time series models which use weather forecasts as inputs. The challenge comes from the overlapping time series as the forecast needs to be updated whenever the weather forecast is updated.
See more on [onlineforecast](https://onlineforecasting.org/) webpage
## Installation
You can install the released version of onlineforecast from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("onlineforecast")
```
## Example
See examples on how to use the package on the website, [onlineforecast](https://onlineforecasting.org/examples.html) where multiple vignettes demonstrate how it works.
citHeader("To cite onlineforecast in publications use:")
citEntry(
entry = "Article",
title = "Short-term heat load forecasting for single family houses",
...
...
@@ -15,3 +14,11 @@ citEntry(
"We are in process of writing a journal paper about the package, but for now we referer to the paper 'Short-term heat load forecasting for single family houses', in which the implemented modelling is described."
)
)
citEntry(
entry = "Manual",
title = "{{onlineforecast}: Forecast Modelling for Online Applications}",
author = "Peder Bacher and Hjörleifur G. Bergsteinsson",
