btergm

cranv1.11.1

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood. 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 descr

License GPL (>= 2)0 versions1 maintainers14 deps1,837 weekly dl
leifeld/btergm
44
/ 100
Health
safe to use

[email protected] is safe to use (health: 44/100)

Health breakdown0 – 100
5/25
maintenance
6/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/btergm

First published · 2025-03-22 17:19:23

Last updated · 2025-03-19T02:20:02+00:00