MEclustnet: Fits the Mixture of Experts Latent Position Cluster Model to Network Data

Fits the mixture of experts latent position cluster model to network data to cluster nodes into subgroups, while incorporating covariate information, in a mixture of experts model setting.

Author
Isobel Claire Gormley
Date of publication
2016-10-13 11:30:32
Maintainer
Isobel Claire Gormley <claire.gormley@ucd.ie>
License
GPL-2
Version
1.0

View on CRAN

Man pages

calclambda
Compute mixing proportions
calcloglikelihood
Calculate the log likelihood function of the data.
calcm
Totals the number of observations in each cluster.
calcpis
Calculate link probabilities.
formatting.covars
Reformat matrix of covariates.
invariant
Account for invariance of configurations.
labelswitch
Label switching correction.
lawyers.adjacency.advice
Adjacency matrix detailing the presence or absence of advice...
lawyers.adjacency.coworkers
Adjacency matrix detailing the presence or absence of...
lawyers.adjacency.friends
Adjacency matrix detailing the presence or absence of...
lawyers.covariates
A matrix of covariates of the 'Lazega Lawyers'.
MEclustnet
Fit a mixture of experts latent position cluster model to...
MEclustnet-package
\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("MEclustnet")}
plotMEclustnet
Plot latent position network.
summaryMEclustnet
Summary of MEclustnet object.
updatebeta
Update the logistic regression parameters in the link...
updateK
Update the cluster membership vector.
updatemu
Update the mean of each cluster.
updatesigma2
Update variances in each cluster.
updatetau
Update the logistic regression parameters in the mixing...
updatez
Update step for the latent locations.
us.twitter.adjacency
Directed adjacency matrix detailing the presence or absence...
us.twitter.covariates
A matrix of covariates of the US politicians.

Files in this package

MEclustnet
MEclustnet/NAMESPACE
MEclustnet/data
MEclustnet/data/lawyers.adjacency.coworkers.rda
MEclustnet/data/us.twitter.adjacency.rda
MEclustnet/data/lawyers.adjacency.advice.rda
MEclustnet/data/us.twitter.covariates.rda
MEclustnet/data/lawyers.covariates.rda
MEclustnet/data/lawyers.adjacency.friends.rda
MEclustnet/R
MEclustnet/R/summaryMEclustnet.R
MEclustnet/R/updatemu.R
MEclustnet/R/updatetau.R
MEclustnet/R/calcloglikelihood.R
MEclustnet/R/calclambda.R
MEclustnet/R/updatebeta.R
MEclustnet/R/plotMEclustnet.R
MEclustnet/R/MEclustnet.R
MEclustnet/R/updatesigma2.R
MEclustnet/R/formatting.covars.R
MEclustnet/R/MEclustnet-internal.R
MEclustnet/R/calcpis.R
MEclustnet/R/calcm.R
MEclustnet/R/updatez.R
MEclustnet/R/labelswitch.R
MEclustnet/R/invariant.R
MEclustnet/R/updateK.R
MEclustnet/MD5
MEclustnet/build
MEclustnet/build/partial.rdb
MEclustnet/DESCRIPTION
MEclustnet/man
MEclustnet/man/calcpis.Rd
MEclustnet/man/calcm.Rd
MEclustnet/man/lawyers.adjacency.coworkers.Rd
MEclustnet/man/plotMEclustnet.Rd
MEclustnet/man/calcloglikelihood.Rd
MEclustnet/man/labelswitch.Rd
MEclustnet/man/MEclustnet.Rd
MEclustnet/man/updatez.Rd
MEclustnet/man/summaryMEclustnet.Rd
MEclustnet/man/updatebeta.Rd
MEclustnet/man/lawyers.adjacency.friends.Rd
MEclustnet/man/updatesigma2.Rd
MEclustnet/man/updatetau.Rd
MEclustnet/man/us.twitter.covariates.Rd
MEclustnet/man/updateK.Rd
MEclustnet/man/calclambda.Rd
MEclustnet/man/updatemu.Rd
MEclustnet/man/lawyers.adjacency.advice.Rd
MEclustnet/man/MEclustnet-package.Rd
MEclustnet/man/us.twitter.adjacency.Rd
MEclustnet/man/invariant.Rd
MEclustnet/man/formatting.covars.Rd
MEclustnet/man/lawyers.covariates.Rd