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

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

## Documentation for package ‘ergm.multi’ version 0.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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.
b1dspL-ergmTerm | Dyadwise shared partners for dyads in the first bipartition on layers
b2dspL-ergmTerm | Dyadwise shared partners for dyads in the second bipartition on layers
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
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
gwb1dspL-ergmTerm | Geometrically weighted dyadwise shared partner distribution for dyads in the first bipartition on layers
gwb2dspL-ergmTerm | Geometrically weighted dyadwise shared partner distribution for dyads in the second bipartition on layers
gwdspL-ergmTerm | Geometrically weighted dyadwise shared partner distribution on layers
gwespL-ergmTerm | Geometrically weighted edgewise shared partner distribution on layers
gwnspL-ergmTerm | Geometrically weighted non-edgewise shared partner distribution on layers
InitErgmConstraint.upper_tri | Only dyads in the upper-triangle of the sociomatrix may be toggled
InitErgmTerm.b1dspL | Dyadwise shared partners for dyads in the first bipartition on layers
InitErgmTerm.b2dspL | Dyadwise shared partners for dyads in the second bipartition on layers
InitErgmTerm.CMBL | Conway-Maxwell-Binomial dependence among layers
InitErgmTerm.ddspL | Dyadwise shared partners on layers
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.gwb1dspL | Geometrically weighted dyadwise shared partner distribution for dyads in the first bipartition on layers
InitErgmTerm.gwb2dspL | Geometrically weighted dyadwise shared partner distribution for dyads in the second bipartition on layers
InitErgmTerm.gwdspL | Geometrically weighted dyadwise shared partner distribution on layers
InitErgmTerm.gwespL | Geometrically weighted edgewise shared partner distribution on layers
InitErgmTerm.gwnspL | Geometrically weighted non-edgewise shared partner distribution on layers
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.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
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