find_and_remove_outliers_testing_set: Find and Adjust the Newly Observed Data in Tesing Set
In carlonlv/DataCenterSim: Simulations for Data Centers
Description
Usage
Arguments
Value
Description
Find and Adjust the Newly Observed Data in Tesing Set
Usage
1
find_and_remove_outliers_testing_set(object, trained_result, new_x, res)
Arguments
object
A arima_sim object.
trained_result
A tso object.
new_x
A time series of new observations.
res
A time series of residuals up to current time.
Value
A time series of new observations with outlier effect adjusted.
carlonlv/DataCenterSim documentation built on Jan. 9, 2022, 3:26 p.m.
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Description Usage Arguments Value
Description
Find and Adjust the Newly Observed Data in Tesing Set
Usage
1 | find_and_remove_outliers_testing_set(object, trained_result, new_x, res)
|
Arguments
object |
A arima_sim object. |
trained_result |
A tso object. |
new_x |
A time series of new observations. |
res |
A time series of residuals up to current time. |
Value
A time series of new observations with outlier effect adjusted.
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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