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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 |