theil_sen_estimator: Functions to apply non-parametric linear regression methods...
In skgrange/enlightenr: Convenient and robust functions for fancy statistical techniques
Description
Usage
Author(s)
See Also
View source: R/non_parametric_linear_regression_functions.R
Description
The Theil-Sen single median and Siegel repeated medians regression techniques
are considered robust regression techniques and often suitable when parametric
techniques fail or their assumptions are violated.
Usage
1
2
3
theil_sen_estimator(df, y, x, round = 6, plot = FALSE)
siegel_repeated_medians(df, y, x, round = 6, plot = FALSE)
Author(s)
Stuart K. Grange
See Also
skgrange/enlightenr documentation built on May 30, 2019, 1:03 a.m.
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Description Usage Author(s) See Also
View source: R/non_parametric_linear_regression_functions.R
Description
The Theil-Sen single median and Siegel repeated medians regression techniques are considered robust regression techniques and often suitable when parametric techniques fail or their assumptions are violated.
Usage
1 2 3 | theil_sen_estimator(df, y, x, round = 6, plot = FALSE)
siegel_repeated_medians(df, y, x, round = 6, plot = FALSE)
|
Author(s)
Stuart K. Grange
See Also
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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