This package is considered a duplicate. The official version of this package is found at:https://corneliusfritz.r-universe.dev/bigergm

Package: bigergm 1.2.3

Cornelius Fritz

bigergm: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks

A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.

Authors:Cornelius Fritz [aut, cre], Michael Schweinberger [aut], Shota Komatsu [aut], Juan Nelson Martínez Dahbura [aut], Takanori Nishida [aut], Angelo Mele [aut]

bigergm_1.2.3.tar.gz
bigergm_1.2.3.tar.gz(r-4.5-noble)bigergm_1.2.3.tar.gz(r-4.4-noble)
bigergm_1.2.3.tgz(r-4.4-emscripten)bigergm_1.2.3.tgz(r-4.3-emscripten)
bigergm.pdf |bigergm.html✨
bigergm/json (API)

# Install 'bigergm' in R:

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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

bali - Bali terrorist network
bunt - Van de Bunt friendship network
kapferer - Kapferer collaboration network
reed - A network of friendships between students at Reed College.
rice - A network of friendships between students at Rice University.
state_twitter - Twitter (X) network of U.S. state legislators
toyNet - A toy network to play 'bigergm' with.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas cpp openmp

2.60 score 4 scripts 573 downloads 9 exports 67 dependencies

Last updated 2 months agofrom:d25ea74d1f. Checks:OK: 1 WARNING: 1. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Dec 23 2024
R-4.5-linux-x86_64	WARNING	Dec 23 2024

Exports:ari bigergm est_between est_within get_between_networks get_within_networks py_dep simulate_bigergm yule

Dependencies:bit bit64 cachem cli clipr coda codetools cpp11 crayon DEoptimR dplyr ergm ergm.multi evaluate fansi fastmap foreach generics glue here highr hms igraph intergraph iterators jsonlite knitr lattice lifecycle lpSolveAPI magrittr Matrix memoise network pillar pkgconfig png prettyunits progress purrr R6 rappdirs rbibutils Rcpp RcppArmadillo RcppTOML Rdpack readr reticulate rlang rle robustbase rprojroot statnet.common stringi stringr tibble tidyr tidyselect trust tzdb utf8 vctrs vroom withr xfun yaml

An Introduction to Estimating Exponential Random Graph Models for Large Networks with bigergm

Rendered frombigergm.Rmdusingknitr::rmarkdownon Dec 23 2024.

Last update: 2024-06-14
Started: 2024-06-12

Help page	Topics
Compute the adjusted rand index (ARI) between two clusterings	ari
Bali terrorist network	bali
bigergm: Exponential-family random graph models for large networks with local dependence	bigergm
Van de Bunt friendship network	bunt
Estimate between-block parameters	est_between
Estimate a within-block network model.	est_within
Obtain the between-block networks defined by the block attribute.	get_between_networks
Obtain the within-block networks defined by the block attribute.	get_within_networks
Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model for big networks	gof.bigergm
Kapferer collaboration network	kapferer
Plot the network with the found clusters	plot.bigergm
Install optional Python dependencies for bigergm	py_dep
A network of friendships between students at Reed College.	reed
A network of friendships between students at Rice University.	rice
Simulate networks under Exponential Random Graph Models (ERGMs) under local dependence	simulate_bigergm
Simulate networks under Exponential Random Graph Models (ERGMs) under local dependence	simulate.bigergm
Twitter (X) network of U.S. state legislators	state_twitter
A toy network to play 'bigergm' with.	toyNet
Compute Yule's Phi-coefficient	yule

Package: bigergm 1.2.3

bigergm: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks

An Introduction to Estimating Exponential Random Graph Models for Large Networks with bigergm

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)