newMppca

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Description

creates an empty posterior MPPCA data structure.

Usage

1

Value

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.

Author(s)

Pierrick Bruneau

References

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.

See Also

mppca mmppca

Examples

1
temp <- newMppca()

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