mppcaToGmm: mppcaToGmm
In VBmix: Variational Bayesian Mixture Models
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
converts a MPPCA model to a GMM.
Usage
1
mppcaToGmm(model, notau = FALSE)
Arguments
model
MPPCA model to be converted.
notau
if TRUE, covariances are built with Lambda.Lambda^T without adding tau.
Value
GMM after conversion.
Author(s)
Pierrick Bruneau
References
Tipping, M. E. and Bishop, C. M. (1999) _Probabilistic principal component analysis_ ,Journal of the Royal
Statistical Society - B Series, Volume 61, Number 3, Pages 611-622.
See Also
mppca varbayes
Examples
1
temp <- mppcaToGmm(pcapen[[1]])
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) References See Also Examples
Description
converts a MPPCA model to a GMM.
Usage
1 | mppcaToGmm(model, notau = FALSE)
|
Arguments
model |
MPPCA model to be converted. |
notau |
if TRUE, covariances are built with Lambda.Lambda^T without adding tau. |
Value
GMM after conversion.
Author(s)
Pierrick Bruneau
References
Tipping, M. E. and Bishop, C. M. (1999) _Probabilistic principal component analysis_ ,Journal of the Royal Statistical Society - B Series, Volume 61, Number 3, Pages 611-622.
See Also
mppca varbayes
Examples
1 | temp <- mppcaToGmm(pcapen[[1]])
|
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.