egoTERGM: Estimation of Ego-Temporal Exponential Random Graph Models via Expectation Maximization (EM)

Estimation of ego-temporal exponential random graph models with two-stage estimation including initialization through k-means clustering on temporal exponential random graph model parameters and EM as per Campbell (2018) <doi:10.7910/DVN/TWHEZ9>.

Version: 2.0.1
Depends: R (≥ 3.4.0), parallel (≥ 3.3.3), btergm (≥ 1.9.0), xergm.common (≥ 1.7.7)
Imports: boot (≥ 1.3-18), ergm (≥ 3.7.1), network (≥ 1.13.0), stats (≥ 3.3.3), sna (≥ 2.4), GGally (≥ 1.3.2), Matrix (≥ 1.2-8), speedglm (≥ 0.3-2), methods (≥ 3.3.3)
Suggests: knitr, rmarkdown
Published: 2018-10-12
Author: Benjamin W. Campbell [aut, cre], Michael Salter-Townshend [ctb], Thomas Brendan Murphy [ctb]
Maintainer: Benjamin W. Campbell <campbell.1721 at osu.edu>
License: GPL-3
URL: http://github.com/benjamin-w-campbell/egoTERGM
NeedsCompilation: no
CRAN checks: egoTERGM results

Downloads:

Reference manual: egoTERGM.pdf
Vignettes: Knecht Vignette
Package source: egoTERGM_2.0.1.tar.gz
Windows binaries: r-devel: egoTERGM_2.0.1.zip, r-release: egoTERGM_2.0.1.zip, r-oldrel: egoTERGM_1.0.0.zip
OS X binaries: r-release: egoTERGM_2.0.1.tgz, r-oldrel: egoTERGM_2.0.1.tgz
Old sources: egoTERGM archive

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