Package: ergm.multi 0.2.1.1

Pavel N. Krivitsky

ergm.multi: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks

A set of extensions for the 'ergm' package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. 'ergm.multi' is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2023) <doi:10.1080/01621459.2023.2242627>.

Authors:Pavel N. Krivitsky [aut, cre], Mark S. Handcock [ctb], David R. Hunter [ctb], Chad Klumb [ctb], Pietro Coletti [ctb], Joyce Cheng [ctb]

ergm.multi_0.2.1.1.tar.gz
ergm.multi_0.2.1.1.tar.gz(r-4.5-noble)ergm.multi_0.2.1.1.tar.gz(r-4.4-noble)
ergm.multi_0.2.1.1.tgz(r-4.4-emscripten)ergm.multi_0.2.1.1.tgz(r-4.3-emscripten)
ergm.multi.pdf |ergm.multi.html✨
ergm.multi/json (API)
NEWS

# Install 'ergm.multi' in R:
install.packages('ergm.multi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/statnet/ergm.multi/issues

Datasets:
  • Goeyvaerts - A sample of within-household contact networks in Flanders and Brussels
  • Lazega - A network of advice, collaboration, and friendship in a law firm

4.83 score 5 packages 6 scripts 2.3k downloads 19 mentions 15 exports 35 dependencies

Last updated 20 days agofrom:1bb396ce9e. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024

Exports:combine_ergmlhscombine_networkscontrol.gofNcontrol.gofN.ergmergm_block_diag_samp_infoergm_LayerLogicgofNLayerlm.gofNmarg_cond_simnetwork_viewNetworkssnctrlsubnetwork_templatesuncombine_network

Dependencies:cachemclicodaDEoptimRergmevaluatefansifastmapgluehighrknitrlatticelifecyclelpSolveAPImagrittrMatrixmemoisenetworkpillarpkgconfigpurrrrbibutilsRdpackrlangrlerobustbasestatnet.commonstringistringrtibbletrustutf8vctrsxfunyaml

Reproducing Goeyvaerts et al. (2018) using ergm.multi

Pavel N. Krivitsky

Rendered fromGoeyvaerts_reproduction.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2023-05-30
Started: 2022-07-03

Readme and manuals

Help Manual

Help pageTopics
ergm.multi: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networksergm.multi-package ergm.multi
An 'as_tibble' method for combined networks.as_tibble.combined_networks
Degree for the first mode in a bipartite (aka two-mode) networkb1degreeL-ergmTerm InitErgmTerm.b1degreeL
Degree for the second mode in a bipartite (aka two-mode) networkb2degree-ergmTerm InitErgmTerm.b2degreeL
Conway-Maxwell-Binomial dependence among layersCMBL-ergmTerm InitErgmTerm.CMBL
A single block-diagonal network created by combining multiple networkscombined_networks combine_networks print.combined_networks print.summary.combined_networks summary.combined_networks
Auxiliary for Controlling Multinetwork ERGM Linear Goodness-of-Fit Evaluationcontrol.gofN control.gofN.ergm
Dyadwise shared partners on layersddspL-ergmTerm dspL-ergmTerm InitErgmTerm.ddspL InitErgmTerm.dspL
DegreedegreeL-ergmTerm InitErgmTerm.degreeL
Edgewise shared partners on layersdespL-ergmTerm espL-ergmTerm InitErgmTerm.despL InitErgmTerm.espL
Geometrically weighted dyadwise shared partner distribution on layersdgwdspL-ergmTerm gwdspL-ergmTerm InitErgmTerm.dgwdspL InitErgmTerm.gwdspL
Geometrically weighted edgewise shared partner distribution on layersdgwespL-ergmTerm gwespL-ergmTerm InitErgmTerm.dgwespL InitErgmTerm.gwespL
Geometrically weighted non-edgewise shared partner distribution on layersdgwnspL-ergmTerm gwnspL-ergmTerm InitErgmTerm.dgwnspL InitErgmTerm.gwnspL
Returns a directed version of an undirected binary networkdirect.network
Non-edgewise shared partners and paths on layersdnspL-ergmTerm InitErgmTerm.dnspL InitErgmTerm.nspL nspL-ergmTerm
A sample of within-household contact networks in Flanders and BrusselsGoeyvaerts
Linear model diagnostics for multinetwork linear modelsaugment.gofN gofN summary.gofN [.gofN
Geometrically weighted degree distribution for the first mode in a bipartite (aka two-mode) networkgwb1degreeL-ergmTerm InitErgmTerm.gwb1degreeL
Geometrically weighted degree distribution for the second mode in a bipartite (aka two-mode) networkgwb2degreeL-ergmTerm InitErgmTerm.gwb2degreeL
Geometrically weighted degree distributiongwdegreeL-ergmTerm InitErgmTerm.gwdegreeL
Geometrically weighted in-degree distributiongwidegreeL-ergmTerm InitErgmTerm.gwidegreeL
Geometrically weighted out-degree distributiongwodegreeL-ergmTerm InitErgmTerm.gwodegreeL
In-degreeidegreeL-ergmTerm InitErgmTerm.idegreeL
Evaluation on layersInitErgmTerm.L L-ergmTerm
A multilayer network representation.Layer
A network of advice, collaboration, and friendship in a law firmLazega
Fit a linear model to the residuals in a gofN object.lm.gofN
Calculate gofN()-style Pearson residuals for arbitrary statisticsmarg_cond_sim
MutualityInitErgmTerm.mutualL mutualL-ergmTerm
Evaluation on multiple networksInitErgmTerm.N InitWtErgmTerm.N N-ergmTerm
Construct a "view" of a network.network_view
A multinetwork network representation.Networks
Out-degreeInitErgmTerm.odegreeL odegreeL-ergmTerm
Plotting methods for 'gofN', making residual and scale-location plots.autoplot.gofN plot.gofN
Statnet Controlsnctrl
A 'split()' method for 'network::network' objects.split.network
Multilayer two-starInitErgmTerm.twostarL twostarL-ergmTerm
Split up a network into a list of subgraphsuncombine_network
Only dyads in the upper-triangle of the sociomatrix may be toggledInitErgmConstraint.upper_tri upper_tri-ergmConstraint