A Basis for Modular Model Creation

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.


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')

Reference manual

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install.packages("ForecastFramework")

0.10.3 by Joshua Kaminsky, 7 years ago


Browse source code at https://github.com/cran/ForecastFramework


Authors: Joshua Kaminsky [aut, cre] , Justin Lessler [aut] , Nicholas Reich [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports abind, lubridate, dplyr, reshape2, magrittr, tibble

Depends on R6

Suggests testthat, knitr, rmarkdown

Enhances surveillance


See at CRAN