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.

AuthorPhilip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]
Date of publication2016-08-06 15:54:51
MaintainerPhilip Leifeld <philip.leifeld@glasgow.ac.uk>
LicenseGPL (>= 2)
Version1.7.10
https://r-forge.r-project.org/projects/xergm/

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Files in this package

btergm/DESCRIPTION
btergm/NAMESPACE
btergm/R
btergm/R/btergm.R
btergm/R/checkdegeneracy.R
btergm/R/gofmethods.R
btergm/R/gofplot.R
btergm/R/gofstatistics.R
btergm/R/interpretation.R
btergm/R/mtergm.R
btergm/R/tergmprepare.R
btergm/R/timecov.R
btergm/inst
btergm/inst/CITATION
btergm/man
btergm/man/btergm-class.Rd
btergm/man/btergm-package.Rd
btergm/man/btergm.Rd
btergm/man/checkdegeneracy.Rd
btergm/man/edgeprob.Rd
btergm/man/getformula.Rd
btergm/man/gofmethods.Rd
btergm/man/gofplot.Rd
btergm/man/gofstatistics.Rd
btergm/man/interpret.Rd
btergm/man/simulate.btergm.Rd
btergm/man/tergm-terms.Rd
btergm/man/timecov.Rd

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