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latentnet (version 2.10.6)

Latent Position and Cluster Models for Statistical Networks

Description

Fit and simulate latent position and cluster models for statistical networks. See Krivitsky and Handcock (2008) and Krivitsky, Handcock, Raftery, and Hoff (2009) .

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Version

Install

install.packages('latentnet')

Monthly Downloads

927

Version

2.10.6

License

GPL-3 + file LICENSE

Maintainer

Pavel N. Krivitsky

Last Published

May 11th, 2022

Functions in latentnet (2.10.6)

ergmm.drawpie

Draw a pie chart at a specified location.
ergmm-terms

Model Terms for Latent Space Random Graph Model
ergmm-families

Edge Weight Distribution Families
as.mcmc.list.ergmm

Convert an ERGMM Object to an MCMC list object for Diagnostics.
ergmm-class

Class of Fitted Exponential Random Graph Mixed Models
ergmm.par.list

A List of ERGMM Parameter Configuration
ergmm.prior

Auxiliary for Setting the ERGMM Prior
ergmm

Fit a Latent Space Random Graph Model
davis

Southern Women Data Set (Davis) as a bipartite ``network'' object
control.ergmm

Auxiliary for Controlling ERGMM Fitting
gof.ergmm

Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Mixed Model Fit
latentnet-package

Latent position and cluster models for networks
merge.ergmm

Merge two or more replications of ERGMM fits
mcmc.diagnostics.ergmm

Conduct MCMC diagnostics on an ERGMM fit
plot.ergmm

Plotting Method for class ERGMM
predict.ergmm

Predicted Dyad Values for an ERGMM.
summary.ergmm

ERGMM Fit Summaries
simulate.ergmm

Draw from the distribution of an Exponential Random Graph Mixed Model
tribes

Read Highland Tribes