calcloglikelihood: Calculate the log likelihood function of the data.
In MEclustnet: Fit the Mixture of Experts Latent Position Cluster Model to Network Data
Description
Usage
Arguments
Value
References
See Also
View source: R/calcloglikelihood.R
Description
This function calculates the log likelihood function of the data.
Usage
1
calcloglikelihood(pis, y)
Arguments
pis
Vector of link probabilities.
y
Vector version of the adjacency matrix, with the diagonal removed.
Value
The value of the log likelihood function.
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
View source: R/calcloglikelihood.R
Description
This function calculates the log likelihood function of the data.
Usage
1 | calcloglikelihood(pis, y)
|
Arguments
pis |
Vector of link probabilities. |
y |
Vector version of the adjacency matrix, with the diagonal removed. |
Value
The value of the log likelihood function.
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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