step_ahead_forecast: Function to calculate the step ahead forecasting for a...
In neerajdhanraj/PredictTestbench: Test Bench for Comparison of Data Prediction Models
Description
Usage
Arguments
Value
Description
Function to calculate the step ahead forecasting for a proposed Prediction method
Usage
1
step_ahead_forecast(dataIn, trainedData, MethodPath, errorParameter, stepSize)
Arguments
dataIn
as input time series for testing
trainedData
as partition point of input data 'dataIn'
MethodPath
as as location of function for the proposed imputation method
errorParameter
as type of error calculation (RMSE, MAE or MAPE)
stepSize
as interval at which step by step prediction will be done (Possible values are 1 & 2)
Value
returns the plot for one/two step ahead prediction along with error values decided by 'errorParameter'
neerajdhanraj/PredictTestbench documentation built on May 23, 2019, 1:31 p.m.
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Description Usage Arguments Value
Description
Function to calculate the step ahead forecasting for a proposed Prediction method
Usage
1 | step_ahead_forecast(dataIn, trainedData, MethodPath, errorParameter, stepSize)
|
Arguments
dataIn |
as input time series for testing |
trainedData |
as partition point of input data 'dataIn' |
MethodPath |
as as location of function for the proposed imputation method |
errorParameter |
as type of error calculation (RMSE, MAE or MAPE) |
stepSize |
as interval at which step by step prediction will be done (Possible values are 1 & 2) |
Value
returns the plot for one/two step ahead prediction along with error values decided by 'errorParameter'
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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