Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks

Documentation for package ‘ergm.multi’ version 0.2.1

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ergm.multi-package	ergm.multi: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks
as_tibble.combined_networks	An 'as_tibble' method for combined networks.
augment.gofN	Linear model diagnostics for multinetwork linear models
autoplot.gofN	Plotting methods for 'gofN', making residual and scale-location plots.
b1degreeL-ergmTerm	Degree for the first mode in a bipartite (aka two-mode) network
b2degree-ergmTerm	Degree for the second mode in a bipartite (aka two-mode) network
CMBL-ergmTerm	Conway-Maxwell-Binomial dependence among layers
combined_networks	A single block-diagonal network created by combining multiple networks
combine_networks	A single block-diagonal network created by combining multiple networks
control.gofN	Auxiliary for Controlling Multinetwork ERGM Linear Goodness-of-Fit Evaluation
control.gofN.ergm	Auxiliary for Controlling Multinetwork ERGM Linear Goodness-of-Fit Evaluation
ddspL-ergmTerm	Dyadwise shared partners on layers
degreeL-ergmTerm	Degree
despL-ergmTerm	Edgewise shared partners on layers
dgwdspL-ergmTerm	Geometrically weighted dyadwise shared partner distribution on layers
dgwespL-ergmTerm	Geometrically weighted edgewise shared partner distribution on layers
dgwnspL-ergmTerm	Geometrically weighted non-edgewise shared partner distribution on layers
direct.network	Returns a directed version of an undirected binary network
dnspL-ergmTerm	Non-edgewise shared partners and paths on layers
dspL-ergmTerm	Dyadwise shared partners on layers
ergm.multi	ergm.multi: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks
espL-ergmTerm	Edgewise shared partners on layers
Goeyvaerts	A sample of within-household contact networks in Flanders and Brussels
gofN	Linear model diagnostics for multinetwork linear models
gwb1degreeL-ergmTerm	Geometrically weighted degree distribution for the first mode in a bipartite (aka two-mode) network
gwb2degreeL-ergmTerm	Geometrically weighted degree distribution for the second mode in a bipartite (aka two-mode) network
gwdegreeL-ergmTerm	Geometrically weighted degree distribution
gwdspL-ergmTerm	Geometrically weighted dyadwise shared partner distribution on layers
gwespL-ergmTerm	Geometrically weighted edgewise shared partner distribution on layers
gwidegreeL-ergmTerm	Geometrically weighted in-degree distribution
gwnspL-ergmTerm	Geometrically weighted non-edgewise shared partner distribution on layers
gwodegreeL-ergmTerm	Geometrically weighted out-degree distribution
idegreeL-ergmTerm	In-degree
InitErgmConstraint.upper_tri	Only dyads in the upper-triangle of the sociomatrix may be toggled
InitErgmTerm.b1degreeL	Degree for the first mode in a bipartite (aka two-mode) network
InitErgmTerm.b2degreeL	Degree for the second mode in a bipartite (aka two-mode) network
InitErgmTerm.CMBL	Conway-Maxwell-Binomial dependence among layers
InitErgmTerm.ddspL	Dyadwise shared partners on layers
InitErgmTerm.degreeL	Degree
InitErgmTerm.despL	Edgewise shared partners on layers
InitErgmTerm.dgwdspL	Geometrically weighted dyadwise shared partner distribution on layers
InitErgmTerm.dgwespL	Geometrically weighted edgewise shared partner distribution on layers
InitErgmTerm.dgwnspL	Geometrically weighted non-edgewise shared partner distribution on layers
InitErgmTerm.dnspL	Non-edgewise shared partners and paths on layers
InitErgmTerm.dspL	Dyadwise shared partners on layers
InitErgmTerm.espL	Edgewise shared partners on layers
InitErgmTerm.gwb1degreeL	Geometrically weighted degree distribution for the first mode in a bipartite (aka two-mode) network
InitErgmTerm.gwb2degreeL	Geometrically weighted degree distribution for the second mode in a bipartite (aka two-mode) network
InitErgmTerm.gwdegreeL	Geometrically weighted degree distribution
InitErgmTerm.gwdspL	Geometrically weighted dyadwise shared partner distribution on layers
InitErgmTerm.gwespL	Geometrically weighted edgewise shared partner distribution on layers
InitErgmTerm.gwidegreeL	Geometrically weighted in-degree distribution
InitErgmTerm.gwnspL	Geometrically weighted non-edgewise shared partner distribution on layers
InitErgmTerm.gwodegreeL	Geometrically weighted out-degree distribution
InitErgmTerm.idegreeL	In-degree
InitErgmTerm.L	Evaluation on layers
InitErgmTerm.mutualL	Mutuality
InitErgmTerm.N	Evaluation on multiple networks
InitErgmTerm.nspL	Non-edgewise shared partners and paths on layers
InitErgmTerm.odegreeL	Out-degree
InitErgmTerm.twostarL	Multilayer two-star
InitWtErgmTerm.N	Evaluation on multiple networks
L-ergmTerm	Evaluation on layers
Layer	A multilayer network representation.
Lazega	A network of advice, collaboration, and friendship in a law firm
lm.gofN	Fit a linear model to the residuals in a gofN object.
marg_cond_sim	Calculate gofN()-style Pearson residuals for arbitrary statistics
mutualL-ergmTerm	Mutuality
N-ergmTerm	Evaluation on multiple networks
Networks	A multinetwork network representation.
network_view	Construct a "view" of a network.
nspL-ergmTerm	Non-edgewise shared partners and paths on layers
odegreeL-ergmTerm	Out-degree
plot.gofN	Plotting methods for 'gofN', making residual and scale-location plots.
print.combined_networks	A single block-diagonal network created by combining multiple networks
print.summary.combined_networks	A single block-diagonal network created by combining multiple networks
snctrl	Statnet Control
split.network	A 'split()' method for 'network::network' objects.
summary.combined_networks	A single block-diagonal network created by combining multiple networks
summary.gofN	Linear model diagnostics for multinetwork linear models
twostarL-ergmTerm	Multilayer two-star
uncombine_network	Split up a network into a list of subgraphs
upper_tri-ergmConstraint	Only dyads in the upper-triangle of the sociomatrix may be toggled
[.gofN	Linear model diagnostics for multinetwork linear models