Description Usage Value Author(s) References See Also Examples
creates an empty posterior MPPCA data structure.
1 | newMppca()
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list object with the following members:
alpha |
numeric vector for bayesian alpha parameter. |
numoment |
list of numeric vectors, containing E[nu_(kj)] parameters. |
nub |
list of numeric vectors, containing b_(kj) parameters for nu. |
taumoment |
numeric vector for tau parameter. NB: all set identically and statically to 1, as in [Bruneau 2011] a single static tau parameter is used. |
taua |
numeric vector for a_k parameters for tau. |
taub |
numeric vector for b_k parameters for tau. |
wmean |
list of matrices containing E[Lambda_k] parameters. |
wsigma |
list of matrices containing Cov(Lambda_k^(i.)). |
xsigma |
list of matrices containing Cov(x_k). |
mumean |
list of numeric vectors, containing means of the MPPCA model. |
musigma |
list of matrices with covariances for the mean estimates. |
mustar |
list of numeric vectors, containing prior means of the MPPCA model, used for initialisation. |
Pierrick Bruneau
Bruneau, P., Gelgon, M. and Picarougne, F. (2010) _Aggregation of probabilistic PCA mixtures with a variational-Bayes technique over parameters_, ICPR'10.
Bruneau, P., Gelgon, M. and Picarougne, F. (2011) _Component-level aggregation of probabilistic PCA mixtures using variational-Bayes_, Tech Report, http://hal.archives-ouvertes.fr/docs/00/56/72/99/PDF/techrep.pdf.
mppca mmppca
1 | temp <- newMppca()
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