step_ahead_forecast

dataIn

as partition point of input data `dataIn`

trainedData

as as location of function for the proposed imputation method

MethodPath

as type of error calculation (RMSE, MAE or MAPE)

errorParameter

as interval at which step by step prediction will be done (Possible values are 1 & 2)

stepSize


Function to calculate the step ahead forecasting for a proposed Prediction method


Provides a Testbench for comparison of prediction models. This
package is inspired from 'imputeTestbench' package
<https://cran.r-project.org/package=imputeTestbench>. It compares prediction
models with reference to RMSE, MAE or MAPE parameters. It allows to add new
proposed methods to test bench and to compare with other methods. The function
'prediction_append()' allows to add multiple numbers of methods to the existing
methods available in test bench. One/two step ahead prediction is also possible
in the testbench.

step_ahead_forecast: Function to calculate the step ahead forecasting for a proposed Prediction method

Description

Usage

Arguments

Value