btergm (1.9.4)

0 users

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood.

http://github.com/leifeld/btergm
http://cran.r-project.org/web/packages/btergm

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.

Maintainer: Philip Leifeld
Author(s): Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]

License: GPL (>= 2)

Uses: boot, coda, ergm, ggplot2, igraph, Matrix, network, ROCR, RSiena, sna, speedglm, statnet.common, xergm.common, testthat, fastglm
Reverse depends: egoTERGM, xergm
Reverse suggests: broom, texreg

Released 4 months ago.


12 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of btergm yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for btergm on google, google scholar, r-help, r-devel.

Visit btergm on R Graphical Manual.