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VBLPCM (version 2.4.9)

Variational Bayes Latent Position Cluster Model for Networks

Description

Fit and simulate latent position and cluster models for network data, using a fast Variational Bayes approximation developed in Salter-Townshend and Murphy (2013) .

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Version

Install

install.packages('VBLPCM')

Monthly Downloads

190

Version

2.4.9

License

GPL (>= 2)

Maintainer

Michael SalterTownshend

Last Published

March 22nd, 2023

Functions in VBLPCM (2.4.9)

hops_to_hopslist

create a handy matrix of vectors to store the hopslist
gof.vblpcm

Goodness of fit based on simulations from the fitted object.
predict.vblpcm

Find all link probabilities
vblpcmbic

calculate the BIC for the fitted VBLPCM object
vblpcmKL

print and returns the Kullback-Leibler divergence from the fitted vblpcm object to the true LPCM posterior
print.vblpcm

print the fitted vblpcm object
simulated.network

simulated.network
summary.vblpcm

summary of a fitted vblpcm object.
vblpcmcovs

create the design matrix for the network analysis
sampson

Cumulative network of positive affection within a monastery as a ``network'' object
log_like_forces

create an initial configuration for the latent positions.
plot.vblpcm

plot the posterior latent positions and groupings and network
vblpcmdrawpie

add a piechart of group memberships of a node to a network plot; taken mainly from latentnet equivalent
vblpcmroc

ROC curve plot for vblpcmfit
vblpcmfit

fit the variational model through EM type iterations
vblpcmgroups

list the maximum VB a-posteriori group memberships.
vblpcmstart

Generate sensible starting configuration for the variational parameter set.
E_to_Y

create an adjacency matrix from an edgelist.
Y_to_E

calculate the edgelist for a given adjacency matrix
fruchterman_reingold

Perform Fruchterman-Reingold layout of a network in 2 or more dimensions.
Y_to_M

calculate the missing edges as an edgelist from an adjacency matrix with NaNs indicating missing links
Y_to_nonE

calculate a non-edge list from an adjacency matrix
aids.net

aids blogs data as a ``network" object
VBLPCM-internal

Internal VBLPCM objects
VBLPCM-package

VBLPCM: Variational Bayes for the Latent Position Cluster Model for networks