trending aims to provides a coherent interface to several modelling tools. Whilst it is useful in an interactive context, it’s main focus is to provide an intuitive interface on which other packages can be developed (e.g. trendbreaker).

Main features

Model specification: Interfaces to common models through intuitive functions; lm_model(), glm_model(), glm_nb_model and brms_model*.
Model fitting and prediction: Once specified, models can be fit to data and generate confidence and prediction intervals for future data using fit() and predict().

* Requires brms

Installing the package

You can install the stable version from CRAN with:

install.packages("trending")

The development version can be installed from GitHub with:

if (!require(remotes)) {
  install.packages("remotes")
}
remotes::install_github("reconhub/trending", build_vignettes = TRUE)

Resources

Vignettes

An overview of trending is provided in the included vignette: * vignette("Introduction", package = "trending")

Getting help online

Bug reports and feature requests should be posted on github using the issue system. All other questions should be posted on the RECON slack channel see https://www.repidemicsconsortium.org/forum/ for details on how to join.

Acknowledgements