fergm: Estimation and Fit Assessment of Frailty Exponential Random Graph Models

Frailty Exponential Random Graph Models estimated through pseudo likelihood with frailty terms estimated using 'Stan' as per Box-Steffensmeier et. al (2017) <doi:10.7910/DVN/K3D1M2>. Goodness of fit for Frailty Exponential Random Graph Models is also available, with easy visualizations for comparison to fit Exponential Random Graph Models.

Version: 1.1.2
Depends: R (≥ 3.3), rstan (≥ 2.16.2), ggplot2 (≥ 2.2.1), parallel (≥ 3.3.3)
Imports: stringr (≥ 1.2.0), extrafont (≥ 0.17), matrixStats (≥ 0.52.2), reshape2 (≥ 1.4.2), ergm (≥ 3.9), network (≥ 1.13.0)
Suggests: knitr, rmarkdown, testthat
Published: 2018-08-23
Author: Jason W. Morgan [aut], Benjamin W. Campbell [aut, cre], Dino P. Christenson [aut], Janet M. Box-Steffensmeier [aut]
Maintainer: Benjamin W. Campbell <campbell.1721 at osu.edu>
License: GPL-3
URL: http://github.com/benjamin-w-campbell/fergm
NeedsCompilation: no
Materials: NEWS
CRAN checks: fergm results

Downloads:

Reference manual: fergm.pdf
Vignettes: Mesa High Vignette
Package source: fergm_1.1.2.tar.gz
Windows binaries: r-devel: fergm_1.1.2.zip, r-release: fergm_1.1.2.zip, r-oldrel: fergm_1.1.2.zip
OS X binaries: r-release: fergm_1.1.2.tgz, r-oldrel: fergm_1.1.1.tgz
Old sources: fergm archive

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