createCovs: Simulate the array of covariance parameters for the...
In nwakim/nwREM: Implementation of an L0 penalized mvGMM EM algorithm
Description
Usage
Arguments
Value
Description
Simulate the array of covariance parameters for the mutlivariate Gaussian mixture model. This function is adapted from https://stat.ethz.ch/pipermail/r-help/2008-February/153708
Usage
1
createCovs(k, d)
Arguments
k
Number of different Gaussians
d
Number of dimensions for multivariate Gaussian mixture model
Value
mus : A (d x k) matrix of mean parameters
nwakim/nwREM documentation built on May 22, 2019, 5:34 p.m.
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Description Usage Arguments Value
Description
Simulate the array of covariance parameters for the mutlivariate Gaussian mixture model. This function is adapted from https://stat.ethz.ch/pipermail/r-help/2008-February/153708
Usage
1 | createCovs(k, d)
|
Arguments
k |
Number of different Gaussians |
d |
Number of dimensions for multivariate Gaussian mixture model |
Value
mus : A (d x k) matrix of mean parameters
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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