pllr: Penalized Local Linear Regression
In CHsharp: Choi and Hall Style Data Sharpening
Description
Usage
Arguments
Value
Author(s)
Description
Data sharpened local linear regression with roughness penalty with
automatically selected bandwidth and tuning parameter.
Usage
1
pllr(x, y)
Arguments
x
numeric vector of predictor observations
y
numeric vector of observed responses
Value
a list consisting of the x and y coordinates of the estimated
regression function.
Author(s)
W.J. Braun
CHsharp documentation built on May 1, 2019, 6:48 p.m.
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Description Usage Arguments Value Author(s)
Description
Data sharpened local linear regression with roughness penalty with automatically selected bandwidth and tuning parameter.
Usage
1 | pllr(x, y)
|
Arguments
x |
numeric vector of predictor observations |
y |
numeric vector of observed responses |
Value
a list consisting of the x and y coordinates of the estimated regression function.
Author(s)
W.J. Braun
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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