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btergm  

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
View on CRAN: Click here


Download and install btergm package within the R console
Install from CRAN:
install.packages("btergm")

Install from Github:
library("remotes")
install_github("cran/btergm")

Install by package version:
library("remotes")
install_version("btergm", "1.11.1")



Attach the package and use:
library("btergm")
Maintained by
Philip Leifeld
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-05
Latest Update: 2025-08-26
Description:
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. The methods are described in Leifeld, Cranmer and Desmarais (2018), JStatSoft .
How to cite:
Philip Leifeld (2015). btergm: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood. R package version 1.11.1, https://cran.r-project.org/web/packages/btergm. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 1.5.2 (2015-08-05 14:41), 1.5.9 (2015-09-24 11:58), 1.6.5 (2016-01-27 18:18), 1.6 (2015-12-14 18:02), 1.7.0 (2016-02-20 13:40), 1.7.3 (2016-04-21 22:13), 1.7.6 (2016-06-18 18:54), 1.8.1 (2016-12-06 23:38), 1.8.2 (2017-01-29 10:16), 1.9.0 (2017-03-31 11:25), 1.9.1 (2018-02-16 00:15), 1.9.3 (2018-08-24 06:34), 1.9.4 (2019-05-14 14:10), 1.9.7 (2020-04-07 14:20), 1.9.9 (2020-06-18 07:00), 1.9.13 (2020-10-26 15:30), 1.10.3 (2021-06-26 00:50), 1.10.6 (2022-04-02 02:10), 1.10.10 (2023-04-24 14:40), 1.10.11 (2023-10-05 22:10), 1.10.12 (2024-04-01 00:30)
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