QRMonFindVarianceAnomalies: Find variance anomalies.
In antononcube/QRMon-R: Quantile Regression Monad
Description
Usage
Arguments
Value
Description
Finds the variance anomalies of the data by using
the differences of the fitted regression quantiles corresponding to
the lowest and highest probabilities and
an outlier identifier applied to those differences.
Usage
1
QRMonFindVarianceAnomalies(qrObj, outlierIdentifier = NULL, positionsQ = FALSE)
Arguments
qrObj
A QRMon object.
outlierIdentifier
Outlier identifier of list of numbers
to be used to identify the anomalies.
If NULL an internal implementation of the quartile outlier
identifier is used.
positionsQ
Should position be returned or points?
Value
A QRMon object.
antononcube/QRMon-R documentation built on July 26, 2021, 1:07 p.m.
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Description Usage Arguments Value
Description
Finds the variance anomalies of the data by using the differences of the fitted regression quantiles corresponding to the lowest and highest probabilities and an outlier identifier applied to those differences.
Usage
1 | QRMonFindVarianceAnomalies(qrObj, outlierIdentifier = NULL, positionsQ = FALSE)
|
Arguments
qrObj |
A QRMon object. |
outlierIdentifier |
Outlier identifier of list of numbers to be used to identify the anomalies. If NULL an internal implementation of the quartile outlier identifier is used. |
positionsQ |
Should position be returned or points? |
Value
A QRMon object.
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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