Title: Time-Series Samples Forecasted With Exogenous Variables
Version: 0.1-0
Description: Forecast a curve sampled within the day (seconds, minutes,
- hours...), using past measured curves + paste exogenous informations, which
+ hours...), using past measured curves + past exogenous informations, which
could be some aggregated measure on the past curves, the weather... Main
starting point: computeForecast().
Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
LazyData: yes
URL: http://git.auder.net/?p=talweg.git
License: MIT + file LICENSE
-RoxygenNote: 6.0.1
+RoxygenNote: 5.0.1
Collate:
- 'A_NAMESPACE.R'
- 'Data.R'
- 'Forecaster.R'
- 'F_Average.R'
- 'F_Neighbors.R'
- 'F_Neighbors2.R'
- 'F_Persistence.R'
- 'F_Zero.R'
- 'Forecast.R'
- 'J_Neighbors.R'
- 'J_Persistence.R'
- 'J_Zero.R'
+ 'plot.R'
'computeError.R'
'computeForecast.R'
+ 'J_Zero.R'
+ 'J_Persistence.R'
+ 'J_Neighbors.R'
+ 'F_Zero.R'
+ 'F_Persistence.R'
+ 'F_Neighbors.R'
+ 'F_Average.R'
'getData.R'
- 'plot.R'
'utils.R'
+ 'Forecaster.R'
+ 'Forecast.R'
+ 'Data.R'
+ 'A_NAMESPACE.R'