Package: ForecastFramework
Title: A Basis for Modular Model Creation
Version: 0.10.3
Authors@R: c(
  person("Joshua", "Kaminsky", email = "jkaminsky@jhu.edu", role = c("aut", "cre")),
  person("Justin", "Lessler", email = "justin@jhu.edu", role = c("aut")),
  person("Nicholas", "Reich", email = "nick@schoolph.umass.edu", role = c("aut")))
Maintainer: Joshua Kaminsky <jkaminsky@jhu.edu>
Description: 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.
Depends: R6, R (>= 2.10.0)
Imports: abind,lubridate,dplyr,reshape2,magrittr,tibble
Suggests: testthat,knitr,rmarkdown
Enhances: surveillance
Encoding: UTF-8
License: GPL-3
LazyData: true
RoxygenNote: 6.1.99.9001
Collate: 'AbstractClasses.R' 'DataContainers.R' 'Forecasts.R'
        'SimulatedIncidenceMatrix.R' 'IncidenceForecast.R'
        'IncidenceMatrix.R' 'Models.R' 'SimpleForecast.R'
        'MoveAheadModel.R' 'ObservationList.R'
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-16 14:05:20 UTC; jkaminsky
Author: Joshua Kaminsky [aut, cre],
  Justin Lessler [aut],
  Nicholas Reich [aut]
Repository: CRAN
Date/Publication: 2020-01-16 15:30:02 UTC
Built: R 3.5.3; ; 2020-04-22 07:40:19 UTC; windows
