compute_eigen_decomposition: Compute the eigendecomposition of a matrix
In bschneidr/svrep: Tools for Creating, Updating, and Analyzing Survey Replicate Weights
View source: R/generalized-replication-helpers.R
compute_eigen_decomposition R Documentation
Compute the eigendecomposition of a matrix
Description
Compute the eigendecomposition of a matrix
Usage
compute_eigen_decomposition(Sigma)
Arguments
Sigma
A symmetric matrix
Details
Computes the eigendecomposition of a symmetric matrix,
either using the base R function eigen() or instead using the 'torch'
package if the user has 'torch' installed and
has set options(svrep.torch_device = "cpu")
or options(svrep.torch_device = "cuda").
Value
A list object with two named components:
-
values: A vector of eigenvalues.
-
vectors: A matrix with eigenvectors corresponding to the eigenvalues.
bschneidr/svrep documentation built on Feb. 11, 2025, 4:24 a.m.
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View source: R/generalized-replication-helpers.R
| compute_eigen_decomposition | R Documentation |
Compute the eigendecomposition of a matrix
Description
Compute the eigendecomposition of a matrix
Usage
compute_eigen_decomposition(Sigma)
Arguments
Sigma |
A symmetric matrix |
Details
Computes the eigendecomposition of a symmetric matrix,
either using the base R function eigen() or instead using the 'torch'
package if the user has 'torch' installed and
has set options(svrep.torch_device = "cpu")
or options(svrep.torch_device = "cuda").
Value
A list object with two named components:
-
values: A vector of eigenvalues. -
vectors: A matrix with eigenvectors corresponding to the eigenvalues.
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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