btergm

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.

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Description file content

Package
btergm
Version
1.9.4
Date
2019-05-12
Title
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
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.
URL
Encoding
UTF-8
Imports
stats4, utils, methods, graphics, network (>= 1.13.0), sna (>= 2.3.2), ergm (>= 3.10.0), parallel, Matrix (>= 1.2.2), boot (>= 1.3.17), coda (>= 0.18.1), stats, ROCR (>= 1.0.7), speedglm (>= 0.3.1), igraph (>= 0.7.1), RSiena (>= 1.0.12.232), statnet.common (>= 4.2.0)
Suggests
fastglm (>= 0.0.1), testthat
Depends
R (>= 3.5), xergm.common (>= 1.7.7), ggplot2 (>= 2.0.0)
License
GPL (>= 2)
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-05-12 07:45:24 UTC; philip
Author
Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]
Maintainer
Philip Leifeld
Repository
CRAN
Date/Publication
2019-05-14 12:10:08 UTC

install.packages('btergm')

1.9.4

9 days ago

http://github.com/leifeld/btergm

Philip Leifeld

GPL (>= 2)

Depends on

R (>= 3.5), xergm.common (>= 1.7.7), ggplot2 (>= 2.0.0)

Imports

stats4, utils, methods, graphics, network (>= 1.13.0), sna (>= 2.3.2), ergm (>= 3.10.0), parallel, Matrix (>= 1.2.2), boot (>= 1.3.17), coda (>= 0.18.1), stats, ROCR (>= 1.0.7), speedglm (>= 0.3.1), igraph (>= 0.7.1), RSiena (>= 1.0.12.232), statnet.common (>= 4.2.0)

Suggests

fastglm (>= 0.0.1), testthat

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