| prediction_errors {ForecastTB} | R Documentation |
Function working as testbench for comparison of Prediction methods
Description
Function working as testbench for comparison of Prediction methods
Usage
prediction_errors(
data,
nval,
ePara,
ePara_name,
Method,
MethodName,
strats,
dval,
append_
)
Arguments
data |
as input time series for testing |
nval |
as an integer to decide number of values to predict |
ePara |
as type of error calculation (RMSE and MAE are default), add an error parameter of your choice in the following manner: ePara = c("errorparametername") where errorparametername is should be a source/function which returns desired error set |
ePara_name |
as list of names of error parameters passed in order |
Method |
as the list of locations of function for the proposed prediction method (should be recursive) (default:arima) |
MethodName |
as list of names for function for the proposed prediction method in order |
strats |
as list of forecasting strategies. Available : recursive and dirrec |
dval |
as last d values of the data to be used for forecasting |
append_ |
suggests if the function is used to append to another instance |
Value
Returns error comparison for forecasting methods
Examples
prediction_errors(data = nottem)