simSparsePrecision: Simulate a Sparce Precision Matrix
In robertness/gmsim: Simulations of Graphical Models.
Description
Usage
Arguments
Value
See Also
Description
Simulate a Sparce Precision Matrix
Usage
1
simSparsePrecision(basis, rng)
Arguments
basis
A binary matrix where 1's correspond to non-zero elements
in the precision matrix. This is the output of the getPrecisionBasis function.
rng
The desired range of the eigen values for the matrix.
Value
A positive definate matrix of the same dimension as the basis argument.
See Also
simGaussianNet, simBNFromCovMat,
simDAGFromCovMat, simNetCovariance, simMVNData,
randomNet, simSparsePrecision, simDAGFromCovMat
robertness/gmsim documentation built on May 27, 2019, 10:32 a.m.
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Description Usage Arguments Value See Also
Description
Simulate a Sparce Precision Matrix
Usage
1 | simSparsePrecision(basis, rng)
|
Arguments
basis |
A binary matrix where 1's correspond to non-zero elements
in the precision matrix. This is the output of the |
rng |
The desired range of the eigen values for the matrix. |
Value
A positive definate matrix of the same dimension as the basis argument.
See Also
simGaussianNet, simBNFromCovMat,
simDAGFromCovMat, simNetCovariance, simMVNData,
randomNet, simSparsePrecision, simDAGFromCovMat
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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