extractSimpleModel: extractSimpleModel
In VBmix: Variational Bayesian Mixture Models
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
extracts a GMM from a posterior variational distribution. Only relevant components (i.e. associated to a significant population) are extracted.
Usage
1
extractSimpleModel(model = model, labels = FALSE)
Arguments
model
variational posterior.
labels
boolean indicating wether to extract a label vector. If TRUE, model, a list object, should also contain a data attribute, used to build label vector.
Value
GMM object.
Author(s)
Pierrick Bruneau
See Also
varbayes subVarbayes
Examples
1
2
temp <- varbayes(irisdata, 20)
temp2 <- extractSimpleModel(temp)
VBmix documentation built on May 30, 2017, 2:34 a.m.
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.
Description Usage Arguments Value Author(s) See Also Examples
Description
extracts a GMM from a posterior variational distribution. Only relevant components (i.e. associated to a significant population) are extracted.
Usage
1 | extractSimpleModel(model = model, labels = FALSE)
|
Arguments
model |
variational posterior. |
labels |
boolean indicating wether to extract a label vector. If TRUE, model, a list object, should also contain a data attribute, used to build label vector. |
Value
GMM object.
Author(s)
Pierrick Bruneau
See Also
varbayes subVarbayes
Examples
1 2 | temp <- varbayes(irisdata, 20)
temp2 <- extractSimpleModel(temp)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.