README.md

In ForecastFramework: A Basis for Modular Model Creation

ForecastFramework

Create modular models. Quickly prototype models whose input includes (multiple) time series data. Create pieces of model use cases separately, and swap out particular models as desired. Create modeling competitions, data processing pipelines, and re-useable models.

To install, either use

install.packages('ForecastFramework')

or

require(devtools)
devtools::install_github('HopkinsIDD/ForecastFramework')

ForecastFramework documentation built on April 14, 2020, 7:39 p.m.