GERGM: Estimation and Fit Diagnostics for Generalized Exponential Random Graph Models

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

Version: 0.11.2
Depends: R (≥ 3.2.0)
Imports: Rcpp, ggplot2, methods, stringr, igraph, plyr, parallel, coda, vegan, scales, RcppParallel, slackr, matrixcalc
LinkingTo: BH, Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat, knitr, rmarkdown
Published: 2017-03-15
Author: Matthew J. Denny, James D. Wilson, Skyler Cranmer, Bruce A. Desmarais, Shankar Bhamidi
Maintainer: Matthew J. Denny <mdenny at psu.edu>
License: GPL-3
URL: https://github.com/matthewjdenny/GERGM
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: GERGM results

Downloads:

Reference manual: GERGM.pdf
Vignettes: getting_started
Package source: GERGM_0.11.2.tar.gz
Windows binaries: r-devel: GERGM_0.11.2.zip, r-release: GERGM_0.11.2.zip, r-oldrel: GERGM_0.11.2.zip
OS X Mavericks binaries: r-release: GERGM_0.11.2.tgz, r-oldrel: GERGM_0.11.2.tgz
Old sources: GERGM archive

Reverse dependencies:

Reverse depends: xergm

Linking:

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