BIC_S: computes the BIC of a RES distribution with Schwarz Penalty...
In Mufabo/ICASSP20.T6.R: ICASSP20.T6.R
Description
Usage
Arguments
Value
Note
Description
computes the BIC of a RES distribution with Schwarz Penalty Term
Usage
1
Arguments
S_est
array[r, r, ll] Scatter matrices of the clusters
t
Matrix[N, ll] Squared Mahalanobis distances to cluster centers
mem
Matrix[N, ll] cluster memberships
rho
Vector rho of density generator
Value
list
bic
pen : Penalty term
like : Likelihood term
Note
"Robust M-Estimation based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions"
Christian A. Schroth and Michael Muma, Signal Processing Group, Technische Universität Darmstadt
submitted to IEEE Transactions on Signal Processing
Mufabo/ICASSP20.T6.R documentation built on May 30, 2021, 11:20 a.m.
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Description Usage Arguments Value Note
Description
computes the BIC of a RES distribution with Schwarz Penalty Term
Usage
1 |
Arguments
S_est |
array[r, r, ll] Scatter matrices of the clusters |
t |
Matrix[N, ll] Squared Mahalanobis distances to cluster centers |
mem |
Matrix[N, ll] cluster memberships |
rho |
Vector rho of density generator |
Value
list
bic
pen : Penalty term
like : Likelihood term
Note
"Robust M-Estimation based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions" Christian A. Schroth and Michael Muma, Signal Processing Group, Technische Universität Darmstadt submitted to IEEE Transactions on Signal Processing
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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