theil_sen_prewhiten: Function to calculate the Thiel-Sen estimate of slope after...
In skgrange/enlightenr: Convenient and robust functions for fancy statistical techniques
Description
Usage
Arguments
Value
Author(s)
View source: R/non_parametric_linear_regression_functions.R
Description
The prewhitening algorithm helps deal with autocorrelation.
Usage
1
theil_sen_prewhiten(x, method = "yuepilon", round = 6, plot = FALSE)
Arguments
x
Vector of data. This will usually be a padded timeseries.
method
Prewhitening method to use. Can be "yuepilon" or
"zhang" and default is "yuepilon".
round
Returned coefficients precision. Default is 6 dp.
Value
Data frame of coefficients.
Author(s)
Stuart K. Grange
skgrange/enlightenr documentation built on May 30, 2019, 1:03 a.m.
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Description Usage Arguments Value Author(s)
View source: R/non_parametric_linear_regression_functions.R
Description
The prewhitening algorithm helps deal with autocorrelation.
Usage
1 | theil_sen_prewhiten(x, method = "yuepilon", round = 6, plot = FALSE)
|
Arguments
x |
Vector of data. This will usually be a padded timeseries. |
method |
Prewhitening method to use. Can be |
round |
Returned coefficients precision. Default is 6 dp. |
Value
Data frame of coefficients.
Author(s)
Stuart K. Grange
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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