VBLPCM: Variational Bayes Latent Position Cluster Model for Networks

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Fit and simulate latent position and cluster models for network data, using a fast Variational Bayes approximation.

Author
Michael Salter-Townshend
Date of publication
2015-12-18 23:39:11
Maintainer
Michael Salter-Townshend <mike.saltertownshend@gmail.com>
License
GPL (>= 2)
Version
2.4.4
URLs

View on CRAN

Man pages

aids
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...
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
sampson
Cumulative network of positive affection within a monastery...
simulated.network
simulated.network
summary.vblpcm
summary of a fitted vblpcm object.
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...
vblpcmfit
fit the variational model through EM type iterations
vblpcmgroups
list the maximum VB a-posteriori group memberships.
VBLPCM-internal
Internal VBLPCM objects
vblpcmKL
print and returns the Kullback-Leibler divergence from the...
VBLPCM-package
VBLPCM: Variational Bayes for the Latent Position Cluster...
vblpcmroc
ROC curve plot for vblpcmfit
vblpcmstart
Generate sensible starting configuration for the variational...
Y_to_E
calculate the edgelist for a given adjacency matrix
Y_to_M
calculate the missing edges as an edgelist from an adjacency...
Y_to_nonE
calculate a non-edge list from an adjacency matrix

Files in this package

VBLPCM
VBLPCM/inst
VBLPCM/inst/CITATION
VBLPCM/configure.ac
VBLPCM/src
VBLPCM/src/funcs.c
VBLPCM/src/adjacency_to_edges.c
VBLPCM/src/KL_funcs.c
VBLPCM/src/fruchterman_reingold.c
VBLPCM/src/log_like_forces.c
VBLPCM/src/optim.c
VBLPCM/src/Makevars.in
VBLPCM/src/VBLPCM.c
VBLPCM/src/Makevars.win
VBLPCM/src/bb.c
VBLPCM/src/likelihoods.c
VBLPCM/src/headers.h
VBLPCM/NAMESPACE
VBLPCM/CHANGELOG
VBLPCM/data
VBLPCM/data/sampson.rda
VBLPCM/data/simulated.network.rda
VBLPCM/data/aids.rda
VBLPCM/R
VBLPCM/R/covs.R
VBLPCM/R/gof.vblpcm.R
VBLPCM/R/vb_bic.R
VBLPCM/R/predict.R
VBLPCM/R/log_like_forces.R
VBLPCM/R/summarise_groups.R
VBLPCM/R/VBLPCM.R
VBLPCM/R/fruchterman_reingold.R
VBLPCM/R/KL.R
VBLPCM/R/adjacency_to_edges.R
VBLPCM/R/plot_network.R
VBLPCM/R/summary.vblpcm.R
VBLPCM/R/print.vblpcm.R
VBLPCM/R/roc.R
VBLPCM/R/start.R
VBLPCM/R/zzz.R
VBLPCM/MD5
VBLPCM/DESCRIPTION
VBLPCM/configure
VBLPCM/man
VBLPCM/man/plot.vblpcm.Rd
VBLPCM/man/hops_to_hopslist.Rd
VBLPCM/man/fruchterman_reingold.Rd
VBLPCM/man/simulated.network.Rd
VBLPCM/man/Y_to_E.Rd
VBLPCM/man/vblpcmBIC.Rd
VBLPCM/man/vblpcmroc.Rd
VBLPCM/man/predict.vblpcm.Rd
VBLPCM/man/E_to_Y.Rd
VBLPCM/man/vblpcmKL.Rd
VBLPCM/man/summary.vblpcm.Rd
VBLPCM/man/aids.Rd
VBLPCM/man/log_like_forces.Rd
VBLPCM/man/gof.vblpcm.Rd
VBLPCM/man/vblpcmdrawpie.Rd
VBLPCM/man/Y_to_M.Rd
VBLPCM/man/vblpcmcovs.Rd
VBLPCM/man/vblpcmstart.Rd
VBLPCM/man/Y_to_nonE.Rd
VBLPCM/man/sampson.Rd
VBLPCM/man/vblpcmfit.Rd
VBLPCM/man/vblpcmgroups.Rd
VBLPCM/man/VBLPCM-internal.Rd
VBLPCM/man/print.vblpcm.Rd
VBLPCM/man/VBLPCM-package.Rd