cholesky: Compute Cholesky
In brandon-mosqueda/SKM: Sparse Kernels Methods
cholesky R Documentation
Compute Cholesky
Description
Compute the Choleski factorization of a real symmetric positive-definite
square matrix. If it fails, compute the Cholesky factorization of a non-real
symmetric positive-definite square matrix.
Usage
cholesky(x)
Arguments
x
(matrix) The data to compute the cholesky.
Value
The cholesky matrix.
Examples
## Not run:
# Import the genomic data
data(Maize)
Cholesky <- cholesky(Maize$Geno)
dim(Cholesky)
head(Cholesky[, 5])
## End(Not run)
brandon-mosqueda/SKM documentation built on Feb. 8, 2025, 5:24 p.m.
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| cholesky | R Documentation |
Compute Cholesky
Description
Compute the Choleski factorization of a real symmetric positive-definite square matrix. If it fails, compute the Cholesky factorization of a non-real symmetric positive-definite square matrix.
Usage
cholesky(x)
Arguments
x |
( |
Value
The cholesky matrix.
Examples
## Not run:
# Import the genomic data
data(Maize)
Cholesky <- cholesky(Maize$Geno)
dim(Cholesky)
head(Cholesky[, 5])
## End(Not run)
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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