eigenMppca: eigenMppca
In VBmix: Variational Bayesian Mixture Models
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
uses eigen decompositions to align factor matrices to principal bases (see references). NB: mppca and mmppca already perform this operation during their post-processing.
Usage
1
eigenMppca(mod)
Arguments
mod
MPPCA model which components have to be aligned.
Value
adjusted MPPCA.
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 newMppca
Examples
1
temp <- eigenMppca(pcapen[[2]])
VBmix documentation built on May 30, 2017, 2:34 a.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
uses eigen decompositions to align factor matrices to principal bases (see references). NB: mppca and mmppca already perform this operation during their post-processing.
Usage
1 | eigenMppca(mod)
|
Arguments
mod |
MPPCA model which components have to be aligned. |
Value
adjusted MPPCA.
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 newMppca
Examples
1 | temp <- eigenMppca(pcapen[[2]])
|
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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