Estimation and Fit Assessment of Frailty Exponential Random Graph Models

Frailty Exponential Random Graph Models estimated through pseudo likelihood with frailty terms estimated using 'Stan' as per Box-Steffensmeier et. al (2017) . Goodness of fit for Frailty Exponential Random Graph Models is also available, with easy visualizations for comparison to fit Exponential Random Graph Models.


News

fergm 1.1.4

  • Updated compare_predictions() to deal with updates in the ergm S3 simulation functions.
  • Removed any import of ergm exports given importation of entire ergm package.
  • Troubleshooting of prior error for simulating from an ERGM by ensuring a network object on the LHS for simulate.ergm is present in global environment.
  • Removed any importing of coef.ergm() or simulate.formula() as they will be deprecated in future ergm packages.

fergm 1.1.3

  • Updated compare_predictions() to deal with updates in the ergm simulation functions.

fergm 1.1.2

  • Updated vignette to ensure consistency in function calls between help pages and vignettes.

  • Updated seed setting argument and functionality of compare_predictions() to assist in replicability.

  • Updated NAMESPACE and dependencies to avoid upstream deprecation warnings from statnet.

fergm 1.1.1

  • For compare_predictions() the denominator used to calculate the percentage of correctly predicted ties was changed from an arbitrary placeholder to the number of dyads within a network. Prior results based upon this function will be adequate if results were reported as relative (FERGM v. ERGM) comparisons of the percentage of correctly predicted ties.

  • For functions taking the custom_var_names argument, such as clean_summary(), coef_plot(), coef_posterior_density(), and fergm_beta_traceplot(), the default value in prior versions would produce errors if terms other than those specified in the fergm.fit formula were included. For example, if the nodemix term was specified in the form argument for fergm(), then a statistic for each pairing of values may be added to the model estimated. These functions taking custom_var_names have been updated to handle such terms.

fergm 0.2.1

  • Revised documentation to add clarity.

  • Fixed compare_predictions_test() function to correctly return ks.test output.

fergm 0.2.0

  • Initial package release.

Reference manual

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install.packages("fergm")

1.1.4 by Benjamin W. Campbell, 4 months ago


http://github.com/benjamin-w-campbell/fergm


Browse source code at https://github.com/cran/fergm


Authors: Jason W. Morgan [aut] , Benjamin W. Campbell [aut, cre] , Dino P. Christenson [aut] , Janet M. Box-Steffensmeier [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, parallel, ergm, network, extrafont, matrixStats, reshape2, stats

Depends on rstan

Suggests knitr, rmarkdown, testthat


See at CRAN