simMVNData: Simulation of Multivariate Normal dataset
In robertness/gmsim: Simulations of Graphical Models.
Description
Usage
Arguments
Value
See Also
Description
Creates a Multivariate Normal Dataset via random positive definate matrix generation.
Usage
1
simMVNData(num.vars, num.obs)
Arguments
num.vars
The number of variables.
num.obs
The number of observations.
Value
A data frame of multivariate normal observations.
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
Creates a Multivariate Normal Dataset via random positive definate matrix generation.
Usage
1 | simMVNData(num.vars, num.obs)
|
Arguments
num.vars |
The number of variables. |
num.obs |
The number of observations. |
Value
A data frame of multivariate normal observations.
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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