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).
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("reconverse/trending", build_vignettes = TRUE)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().
Error and warning catching: The provided methods
for fit and predict catch all warnings and
errors, returning the output and these captured values in a
list.
* Requires brms
An overview of trending is provided in the included
vignette: *
vignette("Introduction", package = "trending")
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.