random.spd: Generate a random positive definite matrix
In sparsebnUtils: Utilities for Learning Sparse Bayesian Networks
View source: R/sparsebnUtils-generate.R
Description
Generate a random positive definite matrix
Usage
1
random.spd(nnode, eigenvalues = NULL, num.ortho = 10)
Arguments
nnode
Number of nodes in the matrix.
eigenvalues
Vector of eigenvalues desired in output. If this
has fewer than nnode values, the remainder are filled in as zero.
num.ortho
Number of random Householder reflections to compose.
sparsebnUtils documentation built on Jan. 27, 2021, 9:05 a.m.
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View source: R/sparsebnUtils-generate.R
Description
Generate a random positive definite matrix
Usage
1 | random.spd(nnode, eigenvalues = NULL, num.ortho = 10)
|
Arguments
nnode |
Number of nodes in the matrix. |
eigenvalues |
Vector of eigenvalues desired in output. If this has fewer than nnode values, the remainder are filled in as zero. |
num.ortho |
Number of random Householder reflections to compose. |
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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