Package: ergMargins 1.3

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>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>. Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.

Authors:Scott Duxbury [aut, cre, cph]

# Install 'ergMargins' in R:

install.packages('ergMargins', repos = c('https://sduxbury.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 10 months agofrom:e40e6bc467. Checks:4 OK, 5 NOTE. Indexed: yes.

Help page	Topics
Function to compute tie probabilities for each dyad.	edge.prob2
Function to compute average marginal effects in ERGM.	ergm.AME
Function to compute marginal effects at means in ERGM.	ergm.MEM
Function to conduct marginal effects mediation analysis in ERGM.	ergm.mma
Function to assess mediated moderation using marginal effects in ERGM.	ergm.mod.mma
Function to diagnose multicollinearity in ERGM.	vif.ergm