ergMargins: Process Analysis for Exponential Random Graph Models

Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>.

Version: 0.1.2
Imports: numDeriv, statnet, stats, ergm, Matrix, network, btergm, methods, sna, xergm.common
Suggests: MASS, knitr, rmarkdown
Published: 2021-02-23
Author: Scott Duxbury [aut, cre, cph]
Maintainer: Scott Duxbury <duxbury at email.unc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ergMargins results

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Reference manual: ergMargins.pdf
Package source: ergMargins_0.1.2.tar.gz
Windows binaries: r-devel: ergMargins_0.1.2.zip, r-release: ergMargins_0.1.2.zip, r-oldrel: ergMargins_0.1.2.zip
macOS binaries: r-release: ergMargins_0.1.2.tgz, r-oldrel: ergMargins_0.1.2.tgz
Old sources: ergMargins archive

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