append_: Function to append new methods in the study

In ForecastTB: Test Bench for the Comparison of Forecast Methods

Description

Function to append new methods in the study

Usage

append_(object, Method, MethodName, ePara, ePara_name)

Arguments

object	as output of 'prediction_errors()' function
Method	as the list of locations of function for the proposed prediction method
MethodName	as list of names for function for the proposed prediction method in order
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

Value

Returns error comparison for additional forecasting methods

Examples

## Not run: 
library(forecast)
test3 <- function(data, nval){return(as.numeric(forecast(ets(data), h = nval)$mean))}
a <- prediction_errors(data = nottem)
b <- append_(object = a, Method = c("test3(data,nval)"), MethodName = c('ETS'))
choose_(object = a)

## End(Not run)

ForecastTB documentation built on March 14, 2020, 5:07 p.m.