btergm: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Version 1.7.10

Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.

Getting started

Package details

AuthorPhilip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]
Date of publication2016-08-06 15:54:51
MaintainerPhilip Leifeld <philip.leifeld@glasgow.ac.uk>
LicenseGPL (>= 2)
Version1.7.10
URL https://r-forge.r-project.org/projects/xergm/
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("btergm", repos="http://R-Forge.R-project.org")

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btergm documentation built on Sept. 12, 2016, 11:31 a.m.