ForecastFramework

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.

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Description file content

Package
ForecastFramework
Title
A Basis for Modular Model Creation
Version
0.10.1
Maintainer
Joshua Kaminsky
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,tibble
Suggests
testthat,knitr,rmarkdown,DAAG
Enhances
surveillance
Encoding
UTF-8
License
GPL-3
LazyData
true
RoxygenNote
6.1.1
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
2019-06-11 16:34:13 UTC; jkaminsky
Author
Joshua Kaminsky [aut, cre], Justin Lessler [aut], Nicholas Reich [aut]
Repository
CRAN
Date/Publication
2019-06-11 17:30:02 UTC

install.packages('ForecastFramework')

0.10.1

2 months ago

Joshua Kaminsky

GPL-3

Depends on

R6

Imports

abind,lubridate,dplyr,reshape2,magrittr,tibble

Suggests

testthat,knitr,rmarkdown,DAAG

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