fsmooth: Gaussian kernel for density estimation
In pmckeigue/wevid: Weight of evidence for quantifying performance of a binary classifier
Description
Gaussian kernel for density estimation
Usage
1
fsmooth(x, X, h, n)
Arguments
x
scalar.
X
vector.
h
Bandwidth size.
n
Length of vector X.
pmckeigue/wevid documentation built on May 29, 2019, 5:41 a.m.
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Description
Gaussian kernel for density estimation
Usage
1 | fsmooth(x, X, h, n)
|
Arguments
x |
scalar. |
X |
vector. |
h |
Bandwidth size. |
n |
Length of vector X. |
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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