R: Variational Bayes Latent Position Cluster Model for Networks

# Variational Bayes Latent Position Cluster Model for Networks

## Documentation for package ‘VBLPCM’ version 2.4.9

- DESCRIPTION file
- Package NEWS

## Help Pages

VBLPCM-package | VBLPCM: Variational Bayes for the Latent Position Cluster Model for networks
aids | aids blogs data as a "network" object
aids.net | aids blogs data as a "network" object
E_to_Y | create an adjacency matrix from an edgelist.
fruchterman_reingold | Perform Fruchterman-Reingold layout of a network in 2 or more dimensions.
gof.vblpcm | Goodness of fit based on simulations from the fitted object.
hops_to_hopslist | create a handy matrix of vectors to store the hopslist
log_like_forces | create an initial configuration for the latent positions.
plot.vblpcm | plot the posterior latent positions and groupings and network
predict.vblpcm | Find all link probabilities
print.vblpcm | print the fitted vblpcm object
samplike | Cumulative network of positive affection within a monastery as a "network" object
sampson | Cumulative network of positive affection within a monastery as a "network" object
summary.vblpcm | summary of a fitted vblpcm object.
VBLPCM | VBLPCM: Variational Bayes for the Latent Position Cluster Model for networks
vblpcmbic | calculate the BIC for the fitted VBLPCM object
vblpcmcovs | create the design matrix for the network analysis
vblpcmdrawpie | add a piechart of group memberships of a node to a network plot; taken mainly from latentnet equivalent
vblpcmfit | fit the variational model through EM type iterations
vblpcmgroups | list the maximum VB a-posteriori group memberships.
vblpcmKL | print and returns the Kullback-Leibler divergence from the fitted vblpcm object to the true LPCM posterior
vblpcmroc | ROC curve plot for vblpcmfit
vblpcmstart | Generate sensible starting configuration for the variational parameter set.
Y | simulated.network
Y_to_E | calculate the edgelist for a given adjacency matrix
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