getcov: Covariance
In EMMIXskew: The EM Algorithm and Skew Mixture Distribution
Description
Usage
Arguments
Value
References
Description
Recalculate covariance for a given structure.
Usage
1
getcov(msigma, sumtau, n, p, g, ncov)
Arguments
msigma
An array for the covariance matrices.
sumtau
A vector for the expected number of observations from each component.
n
An integer for the sample size.
p
An integer for the dimension.
g
An integer for the number of components.
ncov
An integer for type of covariance.
Value
The covariance array.
References
McLachlan G.J. and Krishnan T. (2008). The EM Algorithm and Extensions (2nd). Hoboken, New Jersey: Wiley.
McLachlan G.J. and Peel D. (2000). Finite Mixture Models. New York: Wiley.
EMMIXskew documentation built on May 2, 2019, 11:07 a.m.
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Description Usage Arguments Value References
Description
Recalculate covariance for a given structure.
Usage
1 | getcov(msigma, sumtau, n, p, g, ncov)
|
Arguments
msigma |
An array for the covariance matrices. |
sumtau |
A vector for the expected number of observations from each component. |
n |
An integer for the sample size. |
p |
An integer for the dimension. |
g |
An integer for the number of components. |
ncov |
An integer for type of covariance. |
Value
The covariance array.
References
McLachlan G.J. and Krishnan T. (2008). The EM Algorithm and Extensions (2nd). Hoboken, New Jersey: Wiley.
McLachlan G.J. and Peel D. (2000). Finite Mixture Models. New York: Wiley.
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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