Package: ForecastFramework
Title: A Basis for Modular Model Creation
Version: 0.9.0
Authors@R: person("Joshua", "Kaminsky", email = "jkaminsky@jhu.edu", role = c("aut", "cre"))
Author: Joshua Kaminsky [aut, cre]
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
Imports: abind,lubridate,dplyr,reshape2,magrittr
Suggests:
        testthat,ggplot2,knitr,rmarkdown,dtplyr,data.table,DAAG,R.utils
Encoding: UTF-8
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.0.1
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: 2017-06-27 22:01:22 UTC; jkaminsky
Repository: CRAN
Date/Publication: 2017-06-28 05:59:21 UTC
