mgc.sims.sim_gmm: GMM Simulate
In JINJINT/aLDG: Compute and evaluate the bivariate dependence
mgc.sims.sim_gmm R Documentation
GMM Simulate
Description
A helper function for simulating from Gaussian Mixture.
Usage
mgc.sims.sim_gmm(mus, Sigmas, n, priors)
Arguments
mus
[d, K] the mus for each class.
Sigmas
[d,d,K] the Sigmas for each class.
n
the number of examples.
priors
K the priors for each class.
Value
A list with the following:
X
[n, d] the simulated data.
Y
[n] the labels for each data point.
priors
[K] the priors for each class.
Author(s)
Eric Bridgeford
JINJINT/aLDG documentation built on April 1, 2022, 6:23 p.m.
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| mgc.sims.sim_gmm | R Documentation |
GMM Simulate
Description
A helper function for simulating from Gaussian Mixture.
Usage
mgc.sims.sim_gmm(mus, Sigmas, n, priors)
Arguments
mus |
|
Sigmas |
|
n |
the number of examples. |
priors |
|
Value
A list with the following:
X |
|
Y |
|
priors |
|
Author(s)
Eric Bridgeford
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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