perturbgmm: Returns a perturbed model of given GMM
In MinHyung-Kang/KSD: Goodness-of-Fit Tests using Kernelized Stein Discrepancy
Description
Usage
Arguments
Value
Examples
Description
Returns a perturbed model of given GMM
Usage
1
perturbgmm(model = NULL)
Arguments
model
: The base Gaussian Mixture Model
Value
perturbedModel : Perturbed model with added noise to the supplied GMM
Examples
1
2
3
#Add noise to default 1-d gaussian mixture model
model <- gmm()
noisymodel <- perturbgmm(model)
MinHyung-Kang/KSD documentation built on Jan. 23, 2021, 3:45 p.m.
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Description Usage Arguments Value Examples
Description
Returns a perturbed model of given GMM
Usage
1 | perturbgmm(model = NULL)
|
Arguments
model |
: The base Gaussian Mixture Model |
Value
perturbedModel : Perturbed model with added noise to the supplied GMM
Examples
1 2 3 | #Add noise to default 1-d gaussian mixture model
model <- gmm()
noisymodel <- perturbgmm(model)
|
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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