saveARIMA: Save the Results of a SARIMA Fit
In predsci/DICE: DICE: Dynamics of Interacting Community Epidemics

Description Usage Arguments Value Examples

saveARIMA saves the results of a SARIMA fit to the data into an RData file

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saveARIMA(all_years_epi = NULL, mydata = NULL, tables.mod = NULL,
  tables.fit = NULL, tables.agg.mod = NULL, arima_model = NULL,
  arima_model_all = NULL, covar = NULL, covar_lag = NULL)

`mydata`	- dataframe with all the data for this DICE run
`tables.mod`	- a table with the data and the results for the direct Model fit It includes the mean and the 5-95% percentile (as well as the error)
`tables.fit`	- Optional a table with the data and the results for the fits at the fit_level. It includes the mean and the 5-95% percentile (as well as the error)
`tables.agg.mod`	- A table with aggregate results of the fits
`arima_model`	- A list with the user selection of the ARIMA model If the user has not selected a model this will be NULL and arima_model_all will have the models selected by auto.arima
`arima_model_all`	- An array with details of the ARIMA model used for model region, the fits regions and the aggregate (the last is only if the User has chosen an ARIMA model for the run)
`covar`	- String. Optional covariate variable for ARIMA fit. 'sh', 'precip' and 'temp' are currently supported. Default is NULL - no covariate
`covar_lag`	- Numeric. Lag time for covariate variable in units of the cadence of the data

A list of tables with the results for the model (direct and aggregate) and fit regions

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saveARIMA(all_years_epi = all_years_epi, mydata = mydata, tables.mod = tables.mod, tables.fit = tables.fit,
tables.agg.mod = tables.agg.mod,arima_model = arima_model,
arima_model_all = NULL, covar = covar, covar_lag = covar_lag)