postp: Post-processing of pre-processed data
In predtoolsTS: Time Series Prediction Tools
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Using the prep data we undo the changes on a pred object.
Usage
1
postp(prd, pre)
Arguments
prd
A pred object.
pre
A prep object.
Value
A pred object with reverted transformations.
Author(s)
Alberto Vico Moreno
See Also
pred
prep,
postp.homogenize.log,
postp.homogenize.boxcox,
postp.detrend.differencing,
postp.detrend.sfsm,
postp.deseason.differencing
Examples
1
2
3
preprocess <- prep(AirPassengers)
prediction <- pred(modl(preprocess),n.ahead=30)
postp.prediction <- postp(prediction,preprocess)
predtoolsTS documentation built on May 2, 2019, 5:54 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Using the prep data we undo the changes on a pred object.
Usage
1 | postp(prd, pre)
|
Arguments
prd |
A |
pre |
A |
Value
A pred object with reverted transformations.
Author(s)
Alberto Vico Moreno
See Also
pred
prep,
postp.homogenize.log,
postp.homogenize.boxcox,
postp.detrend.differencing,
postp.detrend.sfsm,
postp.deseason.differencing
Examples
1 2 3 | preprocess <- prep(AirPassengers)
prediction <- pred(modl(preprocess),n.ahead=30)
postp.prediction <- postp(prediction,preprocess)
|
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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