Package: Bergm 5.0.7

Bergm: Bayesian Exponential Random Graph Models

Bayesian analysis for exponential random graph models using advanced computational algorithms. More information can be found at: <https://acaimo.github.io/Bergm/>.

Authors:Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut] Nial Friel [ctb]

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Bergm.pdf |Bergm.html✨
Bergm/json (API)

# Install 'Bergm' in R:

install.packages('Bergm', repos = c('https://acaimo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/acaimo/bergm/issues

Datasets:

lazega - Lazega lawyers network data

On CRAN:

6.26 score 16 stars 4 packages 30 scripts 1.3k downloads 8 exports 88 dependencies

Last updated 21 days agofrom:3dcfd1e2f0. Checks:OK: 1 WARNING: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 28 2024
R-4.5-win	WARNING	Oct 28 2024
R-4.5-linux	WARNING	Oct 28 2024
R-4.4-win	WARNING	Oct 28 2024
R-4.4-mac	WARNING	Oct 28 2024
R-4.3-win	WARNING	Oct 28 2024
R-4.3-mac	WARNING	Oct 28 2024

Exports:bergm bergmC bergmM bgof ergmAPL evidence evidenceCJ evidencePP

Dependencies:backports bit bit64 boot broom cachem cli clipr coda codetools cpp11 crayon DEoptimR dplyr ergm evaluate fansi fastmap forcats foreach generics glmnet glue haven highr hms iterators jomo knitr lattice lifecycle lme4 lpSolveAPI magrittr MASS Matrix matrixcalc MatrixModels mcmc MCMCpack memoise mice minqa mitml mvtnorm network nlme nloptr nnet numDeriv ordinal pan pillar pkgconfig prettyunits progress purrr quantreg R6 rbibutils Rcpp RcppEigen Rdpack readr Rglpk rlang rle robustbase rpart shape slam SparseM statnet.common stringi stringr survival tibble tidyr tidyselect trust tzdb ucminf utf8 vctrs vroom withr xfun yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bayesian exponential random graph models	Bergm-package Bergm
Parameter estimation for Bayesian ERGMs	bergm
Calibrating misspecified Bayesian ERGMs	bergmC
Parameter estimation for Bayesian ERGMs under missing data	bergmM
Bayesian goodness-of-fit diagnostics for ERGMs	bgof
Adjustment of ERGM pseudolikelihood	ergmAPL
Wrapper function for evidence estimation	evidence
Evidence estimation via Chib and Jeliazkov's method	evidenceCJ
Evidence estimation via power posteriors	evidencePP
Lazega lawyers network data	lazega
Plot BERGM posterior output	plot.bergm
Summary of BERGM posterior output	summary.bergm