xergm: Extensions for Exponential Random Graph Models (ERGM)

The xergm package implements temporal exponential random graph models (TERGM) by bootstrapped pseudolikelihood ("btergm") and (temporal) network autocorrelation models ("tnam").

Version: 1.1
Depends: R (≥ 2.14.0), ergm
Imports: stats4, utils, methods, statnet, statnet.common, network, sna, texreg (≥ 1.33), Matrix, parallel, boot, coda, stats, ROCR, igraph, vegan, lme4 (≥ 1.0)
Suggests: RSiena (≥ 1.0.12.169)
Published: 2014-08-07
Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [aut], Bruce A. Desmarais [aut]
Maintainer: Philip Leifeld <philip.leifeld at uni-konstanz.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: xergm citation info
CRAN checks: xergm results

Downloads:

Reference manual: xergm.pdf
Vignettes: Estimating Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Package source: xergm_1.1.tar.gz
Windows binaries: r-devel: xergm_1.1.zip, r-release: xergm_1.1.zip, r-oldrel: xergm_1.1.zip
OS X Snow Leopard binaries: r-release: xergm_1.1.tgz, r-oldrel: xergm_1.1.tgz
OS X Mavericks binaries: r-release: xergm_1.1.tgz
Old sources: xergm archive