calcm: Totals the number of observations in each cluster.
In MEclustnet: Fit the Mixture of Experts Latent Position Cluster Model to Network Data
Description
Usage
Arguments
Value
References
See Also
Description
Update the count of the number of observations in each cluster.
Usage
1
calcm(m, G, K)
Arguments
m
Vector of length G containing the number of nodes in each cluster.
G
The number of clusters in the model being fitted.
K
Vector of length n detailing the number of the cluster to which each node belongs.
Value
Vector of length G containing the number of nodes in each cluster.
References
Isobel Claire Gormley and Thomas Brendan Murphy. (2010) A Mixture of Experts Latent Position Cluster Model for Social Network Data. Statistical Methodology, 7 (3), pp.385-405.
See Also
MEclustnet documentation built on Oct. 10, 2019, 5:04 p.m.
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Description Usage Arguments Value References See Also
Description
Update the count of the number of observations in each cluster.
Usage
1 | calcm(m, G, K)
|
Arguments
m |
Vector of length G containing the number of nodes in each cluster. |
G |
The number of clusters in the model being fitted. |
K |
Vector of length n detailing the number of the cluster to which each node belongs. |
Value
Vector of length G containing the number of nodes in each cluster.
References
Isobel Claire Gormley and Thomas Brendan Murphy. (2010) A Mixture of Experts Latent Position Cluster Model for Social Network Data. Statistical Methodology, 7 (3), pp.385-405.
See Also
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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