A B C D E F G H I K L M N O P R S T U V W misc
ergm-package | Fit, Simulate and Diagnose Exponential-Family Models for Networks |
absdiff | Terms used in Exponential Family Random Graph Models |
absdiffcat | Terms used in Exponential Family Random Graph Models |
altkstar | Terms used in Exponential Family Random Graph Models |
anova.ergm | ANOVA for ERGM Fits |
anova.ergmlist | ANOVA for ERGM Fits |
approx.hotelling.diff.test | Approximate Hotelling T^2-Test for One Sample Means |
as.edgelist.compressed | Convert a network object into a numeric edgelist matrix |
as.edgelist.rlebdm | RLE-Compressed Boolean Dyad Matrix |
as.ergm_model | Internal representation of an 'ergm' network model |
as.ergm_model.ergm_model | Internal representation of an 'ergm' network model |
as.ergm_model.formula | Internal representation of an 'ergm' network model |
as.matrix.rlebdm | RLE-Compressed Boolean Dyad Matrix |
as.network.numeric | Create a Simple Random network of a Given Size |
as.rlebdm | RLE-Compressed Boolean Dyad Matrix |
as.rlebdm.edgelist | RLE-Compressed Boolean Dyad Matrix |
as.rlebdm.ergm_conlist | Extract dyad-level ERGM constraint information into an 'rlebdm' object |
as.rlebdm.matrix | RLE-Compressed Boolean Dyad Matrix |
as.rlebdm.network | RLE-Compressed Boolean Dyad Matrix |
asymmetric | Terms used in Exponential Family Random Graph Models |
atleast | Terms used in Exponential Family Random Graph Models |
atmost | Terms used in Exponential Family Random Graph Models |
attrname | Specifying nodal attributes and their levels |
attrs | Specifying nodal attributes and their levels |
b1concurrent | Terms used in Exponential Family Random Graph Models |
b1cov | Terms used in Exponential Family Random Graph Models |
b1degrange | Terms used in Exponential Family Random Graph Models |
b1degree | Terms used in Exponential Family Random Graph Models |
b1factor | Terms used in Exponential Family Random Graph Models |
b1mindegree | Terms used in Exponential Family Random Graph Models |
b1nodematch | Terms used in Exponential Family Random Graph Models |
b1star | Terms used in Exponential Family Random Graph Models |
b1starmix | Terms used in Exponential Family Random Graph Models |
b1twostar | Terms used in Exponential Family Random Graph Models |
b2concurrent | Terms used in Exponential Family Random Graph Models |
b2cov | Terms used in Exponential Family Random Graph Models |
b2degrange | Terms used in Exponential Family Random Graph Models |
b2degree | Terms used in Exponential Family Random Graph Models |
b2factor | Terms used in Exponential Family Random Graph Models |
b2mindegree | Terms used in Exponential Family Random Graph Models |
b2nodematch | Terms used in Exponential Family Random Graph Models |
b2star | Terms used in Exponential Family Random Graph Models |
b2starmix | Terms used in Exponential Family Random Graph Models |
b2twostar | Terms used in Exponential Family Random Graph Models |
balance | Terms used in Exponential Family Random Graph Models |
Bernoulli | Reference Measures for Exponential-Family Random Graph Models |
by | Specifying nodal attributes and their levels |
c.ergm_model | Internal representation of an 'ergm' network model |
check.ErgmTerm | Ensures an Ergm Term and its Arguments Meet Appropriate Conditions |
coef.ergm | Exponential-Family Random Graph Models |
coef.length.model | Functions that will no longer be supported in future releases of the package |
coefficients.ergm | Exponential-Family Random Graph Models |
coincidence | Terms used in Exponential Family Random Graph Models |
colMeans.mcmc.list | Functions that will no longer be supported in future releases of the package |
concurrent | Terms used in Exponential Family Random Graph Models |
concurrentties | Terms used in Exponential Family Random Graph Models |
ConstraintImplications | Sample Space Constraints for Exponential-Family Random Graph Models |
constraints-ergm | Sample Space Constraints for Exponential-Family Random Graph Models |
constraints.ergm | Sample Space Constraints for Exponential-Family Random Graph Models |
control.ergm | Auxiliary for Controlling ERGM Fitting |
control.ergm.bridge | Auxiliary for Controlling ergm.bridge |
control.ergm.godfather | Control parameters for 'ergm.godfather()'. |
control.gof | Auxiliary for Controlling ERGM Goodness-of-Fit Evaluation |
control.gof.ergm | Auxiliary for Controlling ERGM Goodness-of-Fit Evaluation |
control.gof.formula | Auxiliary for Controlling ERGM Goodness-of-Fit Evaluation |
control.logLik.ergm | Auxiliary for Controlling logLik.ergm |
control.san | Auxiliary for Controlling SAN |
control.simulate | Auxiliary for Controlling ERGM Simulation |
control.simulate.ergm | Auxiliary for Controlling ERGM Simulation |
control.simulate.formula | Auxiliary for Controlling ERGM Simulation |
control.simulate.formula.ergm | Auxiliary for Controlling ERGM Simulation |
ctriad | Terms used in Exponential Family Random Graph Models |
ctriple | Terms used in Exponential Family Random Graph Models |
cycle | Terms used in Exponential Family Random Graph Models |
cyclicalties | Terms used in Exponential Family Random Graph Models |
cyclicalweights | Terms used in Exponential Family Random Graph Models |
ddsp | Terms used in Exponential Family Random Graph Models |
degcor | Terms used in Exponential Family Random Graph Models |
degcrossprod | Terms used in Exponential Family Random Graph Models |
degrange | Terms used in Exponential Family Random Graph Models |
degree | Terms used in Exponential Family Random Graph Models |
degree1.5 | Terms used in Exponential Family Random Graph Models |
degreedist | Computes and Returns the Degree Distribution Information for a Given Network |
degreedist.network | Computes and Returns the Degree Distribution Information for a Given Network |
degreepopularity | Terms used in Exponential Family Random Graph Models |
density | Terms used in Exponential Family Random Graph Models |
desp | Terms used in Exponential Family Random Graph Models |
dgwdsp | Terms used in Exponential Family Random Graph Models |
dgwesp | Terms used in Exponential Family Random Graph Models |
dgwnsp | Terms used in Exponential Family Random Graph Models |
diff | Terms used in Exponential Family Random Graph Models |
dim.rlebdm | RLE-Compressed Boolean Dyad Matrix |
DiscUnif | Reference Measures for Exponential-Family Random Graph Models |
dnsp | Terms used in Exponential Family Random Graph Models |
dsp | Terms used in Exponential Family Random Graph Models |
dyadcov | Terms used in Exponential Family Random Graph Models |
ecoli | Two versions of an E. Coli network dataset |
ecoli1 | Two versions of an E. Coli network dataset |
ecoli2 | Two versions of an E. Coli network dataset |
edgecov | Terms used in Exponential Family Random Graph Models |
edges | Terms used in Exponential Family Random Graph Models |
empty_network | Create an empty copy of a network object |
enformulate.curved | Convert a curved ERGM into a form suitable as initial values for the same ergm. |
enformulate.curved.ergm | Convert a curved ERGM into a form suitable as initial values for the same ergm. |
enformulate.curved.formula | Convert a curved ERGM into a form suitable as initial values for the same ergm. |
equalto | Terms used in Exponential Family Random Graph Models |
ergm | Exponential-Family Random Graph Models |
ergm-constraints | Sample Space Constraints for Exponential-Family Random Graph Models |
ergm-deprecated | Functions that will no longer be supported in future releases of the package |
ergm-errors | Sensible error and warning messages by 'ergm' initializers |
ergm-parallel | Parallel Processing in the 'ergm' Package |
ergm-proposals | Metropolis-Hastings Proposal Methods for ERGM MCMC |
ergm-references | Reference Measures for Exponential-Family Random Graph Models |
ergm-terms | Terms used in Exponential Family Random Graph Models |
ergm.allstats | Calculate all possible vectors of statistics on a network for an ERGM |
ergm.bounddeg | Initializes the parameters to bound degree during sampling |
ergm.bridge.0.llk | Bridge sampling to evaluate ERGM log-likelihoods and log-likelihood ratios |
ergm.bridge.dindstart.llk | Bridge sampling to evaluate ERGM log-likelihoods and log-likelihood ratios |
ergm.bridge.llr | Bridge sampling to evaluate ERGM log-likelihoods and log-likelihood ratios |
ergm.checkargs | Functions that will no longer be supported in future releases of the package |
ergm.checkbipartite | Functions that will no longer be supported in future releases of the package |
ergm.checkdirected | Functions that will no longer be supported in future releases of the package |
ergm.ConstraintImplications | Functions that will no longer be supported in future releases of the package |
ergm.constraints | Sample Space Constraints for Exponential-Family Random Graph Models |
ergm.Cprepare | Internal Functions to Prepare Data for ergm's C Interface |
ergm.Cprepare.el | Functions that will no longer be supported in future releases of the package |
ergm.Cprepare.miss | Functions that will no longer be supported in future releases of the package |
ergm.degeneracy | Checks an ergm Object for Degeneracy |
ergm.design | Internal Functions to Prepare Data for ergm's C Interface |
ergm.el.lasttoggle | Storing last toggle information in a network |
ergm.estfun | Compute the Sample Estimating Function Values of an ERGM. |
ergm.estfun.matrix | Compute the Sample Estimating Function Values of an ERGM. |
ergm.estfun.mcmc | Compute the Sample Estimating Function Values of an ERGM. |
ergm.estfun.mcmc.list | Compute the Sample Estimating Function Values of an ERGM. |
ergm.eta | Operations to map curved 'ergm()' parameters onto canonical parameters |
ergm.etagrad | Operations to map curved 'ergm()' parameters onto canonical parameters |
ergm.etagradmult | Operations to map curved 'ergm()' parameters onto canonical parameters |
ergm.etamap | Operations to map curved 'ergm()' parameters onto canonical parameters |
ergm.exact | Calculate the exact loglikelihood for an ERGM |
ergm.geodesicmatrix | Calculate geodesic distance distribution for a network or edgelist |
ergm.geodesicmatrix.edgelist | Calculate geodesic distance distribution for a network or edgelist |
ergm.geodistdist | Calculate geodesic distance distribution for a network or edgelist |
ergm.geodistn | Calculate geodesic distance distribution for a network or edgelist |
ergm.getCluster | Parallel Processing in the 'ergm' Package |
ergm.getglobalstats | Functions that will no longer be supported in future releases of the package |
ergm.getMCMCsample | Functions that will no longer be supported in future releases of the package |
ergm.getmodel | Functions that will no longer be supported in future releases of the package |
ergm.getnetwork | Acquire and verify the network from the LHS of an 'ergm' formula and verify that it is a valid network. |
ergm.getterms | Functions that will no longer be supported in future releases of the package |
ergm.godfather | A function to apply a given series of changes to a network. |
ergm.init.methods | Functions that will no longer be supported in future releases of the package |
ergm.mcmcslave | Functions that will no longer be supported in future releases of the package |
ergm.MHP.table | Functions that will no longer be supported in future releases of the package |
ergm.mple | Find a maximizer to the psuedolikelihood function |
ergm.nodegeodesics | Calculate geodesic distance distribution for a network or edgelist |
ergm.object | Exponential-Family Random Graph Models |
ergm.pairgeodesic | Calculate geodesic distance distribution for a network or edgelist |
ergm.parallel | Parallel Processing in the 'ergm' Package |
ergm.pl | Find a maximizer to the psuedolikelihood function |
ergm.references | Reference Measures for Exponential-Family Random Graph Models |
ergm.stopCluster | Parallel Processing in the 'ergm' Package |
ergm.stopCluster.default | Parallel Processing in the 'ergm' Package |
ergm.terms | Terms used in Exponential Family Random Graph Models |
ergm.update.formula | Functions that will no longer be supported in future releases of the package |
ergmMPLE | ERGM Predictors and response for logistic regression calculation of MPLE |
ergm_attr_levels | Helper functions for specifying nodal attribute levels |
ergm_attr_levels.AsIs | Helper functions for specifying nodal attribute levels |
ergm_attr_levels.character | Helper functions for specifying nodal attribute levels |
ergm_attr_levels.formula | Helper functions for specifying nodal attribute levels |
ergm_attr_levels.function | Helper functions for specifying nodal attribute levels |
ergm_attr_levels.logical | Helper functions for specifying nodal attribute levels |
ergm_attr_levels.NULL | Helper functions for specifying nodal attribute levels |
ergm_attr_levels.numeric | Helper functions for specifying nodal attribute levels |
ergm_Clist | Internal Functions to Prepare Data for ergm's C Interface |
ergm_Clist.ergm_model | Internal Functions to Prepare Data for ergm's C Interface |
ergm_Clist.network | Internal Functions to Prepare Data for ergm's C Interface |
ergm_get_vattr | Helper functions for specifying nodal attribute levels |
ergm_get_vattr.character | Helper functions for specifying nodal attribute levels |
ergm_get_vattr.formula | Helper functions for specifying nodal attribute levels |
ergm_get_vattr.function | Helper functions for specifying nodal attribute levels |
ergm_Init_abort | Sensible error and warning messages by 'ergm' initializers |
ergm_Init_inform | Sensible error and warning messages by 'ergm' initializers |
ergm_Init_warn | Sensible error and warning messages by 'ergm' initializers |
ERGM_LEVELS_SPEC | Helper functions for specifying nodal attribute levels |
ergm_MCMC_sample | Internal Function to Sample Networks and Network Statistics |
ergm_MCMC_slave | Internal Function to Sample Networks and Network Statistics |
ergm_model | Internal representation of an 'ergm' network model |
ergm_plot.mcmc.list | Plot MCMC list using 'lattice' package graphics |
ergm_proposal | Functions to initialize the ergm_proposal object |
ergm_proposal.character | Functions to initialize the ergm_proposal object |
ergm_proposal.ergm | Functions to initialize the ergm_proposal object |
ergm_proposal.ergm_proposal | Functions to initialize the ergm_proposal object |
ergm_proposal.formula | Functions to initialize the ergm_proposal object |
ergm_proposal.NULL | Functions to initialize the ergm_proposal object |
ergm_proposal_table | Table mapping reference,constraints, etc. to ERGM Metropolis-Hastings proposals |
ERGM_VATTR_SPEC | Helper functions for specifying nodal attribute levels |
esp | Terms used in Exponential Family Random Graph Models |
eut-upgrade | Updating 'ergm.userterms' prior to 3.1 |
faux.desert.high | Faux desert High School as a network object |
faux.dixon.high | Faux dixon High School as a network object |
faux.magnolia.high | Goodreau's Faux Magnolia High School as a network object |
faux.mesa.high | Goodreau's Faux Mesa High School as a network object |
fauxhigh | Goodreau's Faux Mesa High School as a network object |
fix.curved | Convert a curved ERGM into a corresponding "fixed" ERGM. |
fix.curved.ergm | Convert a curved ERGM into a corresponding "fixed" ERGM. |
fix.curved.formula | Convert a curved ERGM into a corresponding "fixed" ERGM. |
flobusiness | Florentine Family Marriage and Business Ties Data as a "network" object |
flomarriage | Florentine Family Marriage and Business Ties Data as a "network" object |
florentine | Florentine Family Marriage and Business Ties Data as a "network" object |
g4 | Goodreau's four node network as a "network" object |
get.miss.dyads | Functions that will no longer be supported in future releases of the package |
get.node.attr | Retrieve and check assumptions about vertex attributes (nodal covariates) in a network |
Getting.Started | Getting Started with "ergm": Fit, simulate and diagnose exponential-family models for networks |
geweke.diag.mv | Multivariate version of 'coda"s 'coda::geweke.diag()'. |
gof | Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model |
gof.default | Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model |
gof.ergm | Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model |
gof.formula | Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model |
greaterthan | Terms used in Exponential Family Random Graph Models |
gwb1degree | Terms used in Exponential Family Random Graph Models |
gwb2degree | Terms used in Exponential Family Random Graph Models |
gwdegree | Terms used in Exponential Family Random Graph Models |
gwdsp | Terms used in Exponential Family Random Graph Models |
gwesp | Terms used in Exponential Family Random Graph Models |
gwidegree | Terms used in Exponential Family Random Graph Models |
gwnsp | Terms used in Exponential Family Random Graph Models |
gwodegree | Terms used in Exponential Family Random Graph Models |
hamming | Terms used in Exponential Family Random Graph Models |
hammingmix | Terms used in Exponential Family Random Graph Models |
idegrange | Terms used in Exponential Family Random Graph Models |
idegree | Terms used in Exponential Family Random Graph Models |
idegree1.5 | Terms used in Exponential Family Random Graph Models |
idegreepopularity | Terms used in Exponential Family Random Graph Models |
ininterval | Terms used in Exponential Family Random Graph Models |
InitErgmConstraint.b1degrees | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.b2degrees | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.bd | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.blockdiag | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.degreedist | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.degrees | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.edges | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.fixallbut | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.fixedas | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.hamming | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.idegreedist | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.idegrees | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.nodedegrees | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.observed | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.odegreedist | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmConstraint.odegrees | Sample Space Constraints for Exponential-Family Random Graph Models |
InitErgmProposal | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.blockdiag | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.blockdiagNonObserved | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.blockdiagNonObservedTNT | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.blockdiagTNT | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondB1Degree | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondB2Degree | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondDegree | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondDegreeDist | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondDegreeMix | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondInDegree | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondInDegreeDist | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondOutDegree | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.CondOutDegreeDist | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.ConstantEdges | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.fixallbut | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.fixallbutTNT | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.fixedas | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.fixedasTNT | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.HammingConstantEdges | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.HammingTNT | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.nobetweengroupties | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.NonObservedTNT | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.randomtoggle | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.randomtoggleNonObserved | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmProposal.TNT | Metropolis-Hastings Proposal Methods for ERGM MCMC |
InitErgmReference.Bernoulli | Reference Measures for Exponential-Family Random Graph Models |
InitErgmReference.DiscUnif | Reference Measures for Exponential-Family Random Graph Models |
InitErgmReference.StdNormal | Reference Measures for Exponential-Family Random Graph Models |
InitErgmReference.Unif | Reference Measures for Exponential-Family Random Graph Models |
InitErgmTerm | Terms used in Exponential Family Random Graph Models |
InitErgmTerm.degreepopularity | Functions that will no longer be supported in future releases of the package |
InitErgmTerm.idegreepopularity | Functions that will no longer be supported in future releases of the package |
InitErgmTerm.odegreepopularity | Functions that will no longer be supported in future releases of the package |
InitWtErgmProposal.DiscUnif | Reference Measures for Exponential-Family Random Graph Models |
InitWtErgmProposal.DiscUnifNonObserved | Reference Measures for Exponential-Family Random Graph Models |
InitWtErgmProposal.StdNormal | Reference Measures for Exponential-Family Random Graph Models |
InitWtErgmProposal.Unif | Reference Measures for Exponential-Family Random Graph Models |
InitWtErgmProposal.UnifNonObserved | Reference Measures for Exponential-Family Random Graph Models |
intransitive | Terms used in Exponential Family Random Graph Models |
is.curved | Testing for curved exponential family |
is.curved.ergm | Testing for curved exponential family |
is.curved.ergm_model | Internal representation of an 'ergm' network model |
is.curved.formula | Testing for curved exponential family |
is.curved.NULL | Testing for curved exponential family |
is.durational | Testing for durational dependent models |
is.durational.character | Testing for durational dependent models |
is.durational.ergm_model | Internal representation of an 'ergm' network model |
is.durational.formula | Testing for durational dependent models |
is.durational.NULL | Testing for durational dependent models |
is.dyad.independent | Testing for dyad-independence |
is.dyad.independent.ergm | Testing for dyad-independence |
is.dyad.independent.ergm_conlist | Testing for dyad-independence |
is.dyad.independent.ergm_model | Internal representation of an 'ergm' network model |
is.dyad.independent.formula | Testing for dyad-independence |
is.dyad.independent.NULL | Testing for dyad-independence |
is.ergm | Exponential-Family Random Graph Models |
is.inCH | Determine whether a vector is in the closure of the convex hull of some sample of vectors |
isolates | Terms used in Exponential Family Random Graph Models |
istar | Terms used in Exponential Family Random Graph Models |
kapferer | Kapferer's tailor shop data |
kapferer2 | Kapferer's tailor shop data |
kstar | Terms used in Exponential Family Random Graph Models |
last-toggle | Storing last toggle information in a network |
last.toggle | Storing last toggle information in a network |
lasttoggle | Storing last toggle information in a network |
localtriangle | Terms used in Exponential Family Random Graph Models |
logLik.ergm | A 'logLik' method for 'ergm' fits. |
logLikNull | Calculate the null model likelihood |
logLikNull.ergm | Calculate the null model likelihood |
m2star | Terms used in Exponential Family Random Graph Models |
match | Terms used in Exponential Family Random Graph Models |
mcmc.diagnostics | Conduct MCMC diagnostics on a model fit |
mcmc.diagnostics.default | Conduct MCMC diagnostics on a model fit |
mcmc.diagnostics.ergm | Conduct MCMC diagnostics on a model fit |
meandeg | Terms used in Exponential Family Random Graph Models |
MHproposal | Functions that will no longer be supported in future releases of the package |
MHproposal.character | Functions that will no longer be supported in future releases of the package |
MHproposal.ergm | Functions that will no longer be supported in future releases of the package |
MHproposal.formula | Functions that will no longer be supported in future releases of the package |
mm | Terms used in Exponential Family Random Graph Models |
molecule | Synthetic network with 20 nodes and 28 edges |
mutual | Terms used in Exponential Family Random Graph Models |
nearsimmelian | Terms used in Exponential Family Random Graph Models |
network.list | A convenience container for a list of 'network' objects, output by 'simulate.ergm' among others. |
network.update | Replace the sociomatrix in a network object |
newnw.extract | Internal function to create a new network from the ergm MCMC sample output |
node-attr | Specifying nodal attributes and their levels |
node-attr-api | Helper functions for specifying nodal attribute levels |
nodecov | Terms used in Exponential Family Random Graph Models |
nodecovar | Terms used in Exponential Family Random Graph Models |
nodefactor | Terms used in Exponential Family Random Graph Models |
nodeicov | Terms used in Exponential Family Random Graph Models |
nodeicovar | Terms used in Exponential Family Random Graph Models |
nodeifactor | Terms used in Exponential Family Random Graph Models |
nodeisqrtcovar | Terms used in Exponential Family Random Graph Models |
nodemain | Terms used in Exponential Family Random Graph Models |
nodematch | Terms used in Exponential Family Random Graph Models |
nodemix | Terms used in Exponential Family Random Graph Models |
nodeocov | Terms used in Exponential Family Random Graph Models |
nodeocovar | Terms used in Exponential Family Random Graph Models |
nodeofactor | Terms used in Exponential Family Random Graph Models |
nodeosqrtcovar | Terms used in Exponential Family Random Graph Models |
nodesqrtcovar | Terms used in Exponential Family Random Graph Models |
NonObservedTNT | Metropolis-Hastings Proposal Methods for ERGM MCMC |
nonzero | Terms used in Exponential Family Random Graph Models |
nparam | Length of the parameter vector associated with an object or with its terms. |
nparam.default | Length of the parameter vector associated with an object or with its terms. |
nparam.ergm | Length of the parameter vector associated with an object or with its terms. |
nparam.ergm_model | Internal representation of an 'ergm' network model |
nsp | Terms used in Exponential Family Random Graph Models |
nvattr.copy.network | Copy network- and vertex-level attributes between two network objects |
odegrange | Terms used in Exponential Family Random Graph Models |
odegree | Terms used in Exponential Family Random Graph Models |
odegree1.5 | Terms used in Exponential Family Random Graph Models |
odegreepopularity | Terms used in Exponential Family Random Graph Models |
offset.info.formula | Functions that will no longer be supported in future releases of the package |
on | Specifying nodal attributes and their levels |
opentriad | Terms used in Exponential Family Random Graph Models |
ostar | Terms used in Exponential Family Random Graph Models |
parallel | Parallel Processing in the 'ergm' Package |
parallel-ergm | Parallel Processing in the 'ergm' Package |
parallel.ergm | Parallel Processing in the 'ergm' Package |
param_names | Names of the parameters associated with an object. |
param_names.default | Names of the parameters associated with an object. |
param_names.ergm_model | Internal representation of an 'ergm' network model |
plot.ergm | Functions that will no longer be supported in future releases of the package |
plot.gof | Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model |
plot.gofobject | Functions that will no longer be supported in future releases of the package |
plot.mcmc.list.ergm | Functions that will no longer be supported in future releases of the package |
plot.network.ergm | Functions that will no longer be supported in future releases of the package |
print.ergm | Exponential-Family Random Graph Models |
print.gof | Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model |
print.gofobject | Functions that will no longer be supported in future releases of the package |
print.network.list | A convenience container for a list of 'network' objects, output by 'simulate.ergm' among others. |
print.rlebdm | RLE-Compressed Boolean Dyad Matrix |
print.summary.ergm | Summarizing ERGM Model Fits |
receiver | Terms used in Exponential Family Random Graph Models |
references-ergm | Reference Measures for Exponential-Family Random Graph Models |
references.ergm | Reference Measures for Exponential-Family Random Graph Models |
remove.offset.formula | Functions that will no longer be supported in future releases of the package |
rlebdm | RLE-Compressed Boolean Dyad Matrix |
samplike | Cumulative network of positive affection within a monastery as a "network" object |
samplk | Longitudinal networks of positive affection within a monastery as a "network" object |
samplk1 | Longitudinal networks of positive affection within a monastery as a "network" object |
samplk2 | Longitudinal networks of positive affection within a monastery as a "network" object |
samplk3 | Longitudinal networks of positive affection within a monastery as a "network" object |
sampson | Cumulative network of positive affection within a monastery as a "network" object |
san | Use Simulated Annealing to attempt to match a network to a vector of mean statistics |
san.default | Use Simulated Annealing to attempt to match a network to a vector of mean statistics |
san.ergm | Use Simulated Annealing to attempt to match a network to a vector of mean statistics |
san.formula | Use Simulated Annealing to attempt to match a network to a vector of mean statistics |
search.ergmTerms | Search the ergm-terms documentation for appropriate terms |
sender | Terms used in Exponential Family Random Graph Models |
simmelian | Terms used in Exponential Family Random Graph Models |
simmelianties | Terms used in Exponential Family Random Graph Models |
simulate.ergm | Draw from the distribution of an Exponential Family Random Graph Model |
simulate.formula | Draw from the distribution of an Exponential Family Random Graph Model |
simulate.formula.ergm | Draw from the distribution of an Exponential Family Random Graph Model |
smalldiff | Terms used in Exponential Family Random Graph Models |
smallerthan | Terms used in Exponential Family Random Graph Models |
sociality | Terms used in Exponential Family Random Graph Models |
spectrum0.mvar | Multivariate version of 'coda"s 'spectrum0.ar()'. |
sum | Terms used in Exponential Family Random Graph Models |
summary | Calculation of network or graph statistics or other attributes specified on a formula |
summary.ergm | Summarizing ERGM Model Fits |
summary.ergm_model | Evaluate network summary statistics from an initialized ergm model |
summary.formula | Calculation of network or graph statistics or other attributes specified on a formula |
summary.gof | Functions that will no longer be supported in future releases of the package |
summary.gofobject | Functions that will no longer be supported in future releases of the package |
summary.network.list | A convenience container for a list of 'network' objects, output by 'simulate.ergm' among others. |
summary.statistics | Functions that will no longer be supported in future releases of the package |
summary.statistics.formula | Functions that will no longer be supported in future releases of the package |
summary.statistics.network | Functions that will no longer be supported in future releases of the package |
summary_formula | Dispatching a summary function based on the class of the LHS of a formula. |
summary_formula.default | Dispatching a summary function based on the class of the LHS of a formula. |
summary_formula.ergm | Dispatching a summary function based on the class of the LHS of a formula. |
summary_formula.matrix | Dispatching a summary function based on the class of the LHS of a formula. |
summary_formula.network | Dispatching a summary function based on the class of the LHS of a formula. |
summary_formula.network.list | Dispatching a summary function based on the class of the LHS of a formula. |
sweep.mcmc.list | Functions that will no longer be supported in future releases of the package |
tailor | Kapferer's tailor shop data |
terms-ergm | Terms used in Exponential Family Random Graph Models |
terms.ergm | Terms used in Exponential Family Random Graph Models |
threepath | Terms used in Exponential Family Random Graph Models |
threetrail | Terms used in Exponential Family Random Graph Models |
to.lasttoggle.matrix | Storing last toggle information in a network |
to.matrix.lasttoggle | Storing last toggle information in a network |
to_ergm_Cdouble | Methods to serialize objects into numeric vectors for passing to the C side. |
to_ergm_Cdouble.matrix | Methods to serialize objects into numeric vectors for passing to the C side. |
to_ergm_Cdouble.network | Methods to serialize objects into numeric vectors for passing to the C side. |
to_ergm_Cdouble.rlebdm | Methods to serialize objects into numeric vectors for passing to the C side. |
transitive | Terms used in Exponential Family Random Graph Models |
transitiveties | Terms used in Exponential Family Random Graph Models |
transitiveweights | Terms used in Exponential Family Random Graph Models |
triadcensus | Terms used in Exponential Family Random Graph Models |
triangle | Terms used in Exponential Family Random Graph Models |
triangles | Terms used in Exponential Family Random Graph Models |
tripercent | Terms used in Exponential Family Random Graph Models |
ttriad | Terms used in Exponential Family Random Graph Models |
ttriple | Terms used in Exponential Family Random Graph Models |
twopath | Terms used in Exponential Family Random Graph Models |
Unif | Reference Measures for Exponential-Family Random Graph Models |
vcov.ergm | Exponential-Family Random Graph Models |
wtd.median | Weighted Median |
!.rlebdm | RLE-Compressed Boolean Dyad Matrix |
!=.rlebdm | RLE-Compressed Boolean Dyad Matrix |
&.rlebdm | RLE-Compressed Boolean Dyad Matrix |
<.rlebdm | RLE-Compressed Boolean Dyad Matrix |
<=.rlebdm | RLE-Compressed Boolean Dyad Matrix |
==.rlebdm | RLE-Compressed Boolean Dyad Matrix |
>.rlebdm | RLE-Compressed Boolean Dyad Matrix |
>=.rlebdm | RLE-Compressed Boolean Dyad Matrix |
|.rlebdm | RLE-Compressed Boolean Dyad Matrix |