smoother_fitter: Helper function
In SurrogateParadoxTest: Empirical Testing of Surrogate Paradox Assumptions
View source: R/test-script-2025-01-20.r
smoother_fitter R Documentation
Helper function
Description
Nadaraya-Watson kernel smoother
Usage
smoother_fitter(X, Y, kernel = gaussian_kernel, h)
Arguments
X
Vector of X values
Y
Vector of Y values
kernel
Kernel to use in the kernel smoother; defaults to Gaussian kernel
h
Bandwidth
Value
Returns a function which is the smoothed function; input takes in an x value.
Author(s)
Emily Hsiao
SurrogateParadoxTest documentation built on April 4, 2025, 5:11 a.m.
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View source: R/test-script-2025-01-20.r
| smoother_fitter | R Documentation |
Helper function
Description
Nadaraya-Watson kernel smoother
Usage
smoother_fitter(X, Y, kernel = gaussian_kernel, h)
Arguments
X |
Vector of X values |
Y |
Vector of Y values |
kernel |
Kernel to use in the kernel smoother; defaults to Gaussian kernel |
h |
Bandwidth |
Value
Returns a function which is the smoothed function; input takes in an x value.
Author(s)
Emily Hsiao
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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