Package: MEclustnet 1.2.2

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

Functions to facilitate model-based clustering of nodes in a network in a mixture of experts setting, which incorporates covariate information on the nodes in the modelling process. Isobel Claire Gormley and Thomas Brendan Murphy (2010) <doi:10.1016/j.stamet.2010.01.002>.

Authors:Isobel Claire Gormley [aut, cre], Thomas Brendan Murphy [aut]

MEclustnet_1.2.2.tar.gz
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MEclustnet_1.2.2.tgz(r-4.4-any)MEclustnet_1.2.2.tgz(r-4.3-any)
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MEclustnet.pdf |MEclustnet.html
MEclustnet/json (API)
NEWS

# Install 'MEclustnet' in R:
install.packages('MEclustnet', repos = c('https://gormleyi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.00 score 50 dependencies 11 scripts 233 downloads

Last updated 5 years agofrom:1cc27464f3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:formatting.covarsMEclustnetplotMEclustnetsummaryMEclustnet

Dependencies:abindcachemclasscliclustercodaDEoptimRe1071ellipseergmevaluatefansifastmapgluehighrknitrlatentnetlatticelifecyclelpSolveAPImagrittrMASSMatrixmemoisemgcvmvtnormnetworknlmennetpermutepillarpkgconfigproxypurrrrbibutilsRdpackrlangrlerobustbasesnastatnet.commonstringistringrtibbletrustutf8vctrsveganxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Title Compute mixing proportionscalclambda
Calculate the log likelihood function of the data.calcloglikelihood
Totals the number of observations in each cluster.calcm
Calculate link probabilities.calcpis
Reformat matrix of covariates.formatting.covars
Account for invariance of configurations.invariant
Label switching correction.labelswitch
Adjacency matrix detailing the presence or absence of advice links between the `Lazega Lawyers'.lawyers.adjacency.advice
Adjacency matrix detailing the presence or absence of coworker links between the `Lazega Lawyers'.lawyers.adjacency.coworkers
Adjacency matrix detailing the presence or absence of friendship links between the `Lazega Lawyers'.lawyers.adjacency.friends
A matrix of covariates of the `Lazega Lawyers'.lawyers.covariates
MEclustnet: A package for model-based clustering of nodes in a network, accounting for covariates.MEclustnet-package MEclustnet
Plot latent position network.plotMEclustnet
Summary of MEclustnet object.summaryMEclustnet
Update the logistic regression parameters in the link probabilities model.updatebeta
Update the cluster membership vector.updateK
Update the mean of each cluster.updatemu
Update variances in each cluster.updatesigma2
Update the logistic regression parameters in the mixing proportions model.updatetau
Update step for the latent locations.updatez
Directed adjacency matrix detailing the presence or absence of Twitter friend/follower links between US politicians.us.twitter.adjacency
A matrix of covariates of the US politicians.us.twitter.covariates