Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models via Gibbs sampling or Metropolis Hastings with exponential down weighting.

Documentation

Manual: GERGM.pdf
Vignette: getting_started

Maintainer: Matthew J. Denny <mdenny at psu.edu>

Author(s): Matthew J. Denny <mdenny at psu.edu>, James D. Wilson <jdwilson1212 at gmail.com>, Skyler Cranmer <cranmer.12 at osu.edu >, Bruce A. Desmarais <bdesmarais at psu.edu>, Shankar Bhamidi <bhamidi at email.unc.edu>

Install package and any missing dependencies by running this line in your R console:

install.packages("GERGM")

Depends R (>= 3.2.0)
Imports Rcpp, ggplot2, methods, stringr, igraph, plyr, parallel, coda, vegan, scales, RcppParallel, slackr, matrixcalc
Suggests testthat, knitr, rmarkdown
Enhances
Linking to BH, Rcpp, RcppArmadillo, RcppParallel
Reverse
depends
xergm
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package GERGM
Materials
URL https://github.com/matthewjdenny/GERGM
Task Views
Version 0.11.2
Published 2017-03-15
License GPL-3
BugReports
SystemRequirements GNU make
NeedsCompilation yes
Citation
CRAN checks GERGM check results
Package source GERGM_0.11.2.tar.gz