ConvolutionMatrix: Computes a matrix of Gaussian kernel convolution values given...
In scdensity: Shape-Constrained Kernel Density Estimation
Description
Usage
Arguments
Value
Description
If x and s are n- and m-vectors, respectively, returns the n-by-m matrix
of convolution values using Gaussian kernel with bandwidth h. If x and
s are equal, the spectral shift is done to ensure the matrix is numerically
positive definite.
Usage
1
ConvolutionMatrix(x, s, h, threshold = 1e-10)
Arguments
x
A numeric vector.
s
A numeric vector.
h
A positive bandwidth.
threshold
Threshold value passed to SpectralShift.
Value
The matrix of convolution values.
scdensity documentation built on May 1, 2019, 10:26 p.m.
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.
Description Usage Arguments Value
Description
If x and s are n- and m-vectors, respectively, returns the n-by-m matrix
of convolution values using Gaussian kernel with bandwidth h. If x and
s are equal, the spectral shift is done to ensure the matrix is numerically
positive definite.
Usage
1 | ConvolutionMatrix(x, s, h, threshold = 1e-10)
|
Arguments
x |
A numeric vector. |
s |
A numeric vector. |
h |
A positive bandwidth. |
threshold |
Threshold value passed to SpectralShift. |
Value
The matrix of convolution values.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.