helpers/features.MD
In lubrunn/DSP_App_Abgabe: What the Package Does (One Line, Title Case)
- No feautures
The model predicts the dependent variables without the help of
the additional variables specified in the second tab.
The only information remaining are the time variables,
which include:
day,week,month,quarter,season and year.
2. Forecasted feautures
The model predicts the dependent variable with the help of the specified
variables, which are forecasted for the selected time horizon. Each variable
is forecasted by using an ARIMA model (univariate). The package
auto.arima selects the autoregressive and moving average automatically.
The final data frame consists of forecasted and time-specific variables-
lubrunn/DSP_App_Abgabe documentation built on Dec. 21, 2021, 11:51 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
- No feautures
The model predicts the dependent variables without the help of
the additional variables specified in the second tab.
The only information remaining are the time variables,
which include:
day,week,month,quarter,seasonandyear.
2. Forecasted feautures
The model predicts the dependent variable with the help of the specified
variables, which are forecasted for the selected time horizon. Each variable
is forecasted by using an ARIMA model (univariate). The package
auto.arima selects the autoregressive and moving average automatically.
The final data frame consists of forecasted and time-specific variables-
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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