generateSimilarityKernel: Generate a similarity kernel from a distance matrix
In pknight24/KPR: Kernel-penalized regression
View source: R/generateSimilarityKernel.R
generateSimilarityKernel R Documentation
Generate a similarity kernel from a distance matrix
Description
Computes Gower's centered similarity matrix from a distance matrix.
Usage
generateSimilarityKernel(D, squareValues = TRUE)
Arguments
D
A square distance matrix. This may also be an object of class "dist".
squareValues
Logical, indicating whether to square the values in 'D' before building the similarity kernel.
Value
A similarity kernel matrix of the same dimension as the input matrix.
pknight24/KPR documentation built on Aug. 5, 2023, 7:01 a.m.
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View source: R/generateSimilarityKernel.R
| generateSimilarityKernel | R Documentation |
Generate a similarity kernel from a distance matrix
Description
Computes Gower's centered similarity matrix from a distance matrix.
Usage
generateSimilarityKernel(D, squareValues = TRUE)
Arguments
D |
A square distance matrix. This may also be an object of class "dist". |
squareValues |
Logical, indicating whether to square the values in 'D' before building the similarity kernel. |
Value
A similarity kernel matrix of the same dimension as the input matrix.
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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