ConvolutionMatrix: Computes a matrix of Gaussian kernel convolution values given...
In scdensity: Shape-Constrained Kernel Density Estimation
View source: R/helper_functions.R
ConvolutionMatrix R Documentation
Computes a matrix of Gaussian kernel convolution values given two vectors.
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
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 Sept. 12, 2024, 7:35 a.m.
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View source: R/helper_functions.R
| ConvolutionMatrix | R Documentation |
Computes a matrix of Gaussian kernel convolution values given two vectors.
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
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.
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