predict_models: predict_models - calculate forecasts
In saralsmith/SHIFT: SHiny Improved Forecasting Tool
Description
Usage
Arguments
Value
Description
A function that returns a list of forecasts for the input
model fits.
Usage
1
predict_models(model_fits, proj_data = NULL, n_periods_to_forecast = 4)
Arguments
model_fits
list of model fit objects to use in forecast. Can use
fit_models() to calculate these.
proj_data
if linear regression model is included in model_fits,
this data frame is required, containing projected data to use in the forecast
n_periods_to_forecast
integer - number of periods to forecast forward.
Default is 4 periods.
Value
data frame containing predictions/forecasts for multiple models
saralsmith/SHIFT documentation built on Feb. 7, 2021, 5:48 p.m.
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Description Usage Arguments Value
Description
A function that returns a list of forecasts for the input model fits.
Usage
1 | predict_models(model_fits, proj_data = NULL, n_periods_to_forecast = 4)
|
Arguments
model_fits |
list of model fit objects to use in forecast. Can use fit_models() to calculate these. |
proj_data |
if linear regression model is included in model_fits, this data frame is required, containing projected data to use in the forecast |
n_periods_to_forecast |
integer - number of periods to forecast forward. Default is 4 periods. |
Value
data frame containing predictions/forecasts for multiple models
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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