| 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 |
| 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 |
| degreedistfactor |
Functions that have been removed from this package |
| degreepopularity |
Terms used in Exponential Family Random Graph Models |
| delete.isolates |
Functions that have been removed from this package |
| 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 |
| DiscUnif |
Reference Measures for Exponential-Family Random Graph Models |
| dnsp |
Terms used in Exponential Family Random Graph Models |
| drawpie |
Functions that have been removed from this package |
| dsp |
Terms used in Exponential Family Random Graph Models |
| dspartnerdist |
Functions that have been removed from this package |
| 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 |
| 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-defunct |
Functions that have been removed from this package |
| ergm-parallel |
Parallel Processing in the 'ergm' Package |
| 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 |
A simple implementation of bridge sampling to evaluate log-likelihood-ratio between two ERGM configurations |
| ergm.bridge.dindstart.llk |
Bridge sampling to estiamte log-likelihood of an ERGM, using a dyad-independent ERGM as a staring point. |
| ergm.bridge.llr |
A simple implementation of bridge sampling to evaluate log-likelihood-ratio between two ERGM configurations |
| ergm.checkargs |
Ensures an Ergm Term and its Arguments Meet Appropriate Conditions |
| ergm.checkbipartite |
Ensures an Ergm Term and its Arguments Meet Appropriate Conditions |
| ergm.checkconstraints.model |
Ensures an Ergm Term and its Arguments Meet Appropriate Conditions |
| ergm.checkdegeneracy |
Ensures an Ergm Term and its Arguments Meet Appropriate Conditions |
| ergm.checkdirected |
Ensures an Ergm Term and its Arguments Meet Appropriate Conditions |
| ergm.checkextreme.model |
Ensures an Ergm Term and its Arguments Meet Appropriate Conditions |
| ergm.cluster.started |
Parallel Processing in the 'ergm' Package |
| ergm.ConstraintImplications |
Set up the implied constraints from the current constraint |
| ergm.constraints |
Sample Space Constraints for Exponential-Family Random Graph Models |
| ergm.Cprepare |
Internal Function to Prepare Data for ergm's C Interface |
| ergm.Cprepare.el |
Internal Function to Prepare Data for ergm's C Interface |
| ergm.Cprepare.miss |
Internal Function to Prepare Data for ergm's C Interface |
| ergm.degeneracy |
Checks an ergm Object for Degeneracy |
| ergm.design |
Internal Function to Prepare Data for ergm's C Interface |
| ergm.el.lasttoggle |
Storing last toggle information in a network |
| ergm.eta |
Operations with 'eta' vector of canonical parameter values from ergm model |
| ergm.etagrad |
Operations with 'eta' vector of canonical parameter values from ergm model |
| ergm.etagradmult |
Operations with 'eta' vector of canonical parameter values from ergm model |
| ergm.etamap |
Operations with 'eta' vector of canonical parameter values from ergm model |
| 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 |
internal function to return global statistics for a given network |
| ergm.getMCMCsample |
Internal Function to Sample Networks Using C Wrapper |
| ergm.getmodel |
Internal Functions for Querying, Validating and Extracting from ERGM Formulas |
| ergm.getnetwork |
Internal Functions for Querying, Validating and Extracting from ERGM Formulas |
| ergm.getterms |
Internal Functions for Querying, Validating and Extracting from ERGM Formulas |
| ergm.init.methods |
Set up the initial fitting methods for reference measure and query available methods for that reference measure |
| ergm.mahalanobis |
Functions that have been removed from this package |
| ergm.mcmcslave |
Internal Function to Sample Networks Using C Wrapper |
| ergm.MHP.table |
Table mapping reference,constraints, etc. to Metropolis Hastings Proposals (MHP) |
| 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.stopCluster.MPIcluster |
Parallel Processing in the 'ergm' Package |
| ergm.terms |
Terms used in Exponential Family Random Graph Models |
| ergm.update.formula |
Internal Functions for Querying, Validating and Extracting from ERGM Formulas |
| ergmMPLE |
ERGM Predictors and response for logistic regression calculation of MPLE |
| ergm_MH_proposals |
Metropolis-Hastings Proposal Methods for ERGM MCMC |
| esp |
Terms used in Exponential Family Random Graph Models |
| espartnerdist |
Functions that have been removed from this package |
| eut-upgrade |
Updating 'ergm.userterms' prior to 3.1 |
| g4 |
Goodreau's four node network as a "network" object |
| get.free.dyads |
Create a network containing only edges meeting a specific criteria |
| get.miss.dyads |
Create a network containing only edges meeting a specific criteria |
| 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 |
| 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 |
| nearsimmelian |
Terms used in Exponential Family Random Graph Models |
| network.list |
Summarizing network.list objects |
| network.update |
Replaces the sociomatrix in a network object |
| newnw.extract |
Internal function to create a new network from the ergm MCMC sample output |
| 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 |
| nsp |
Terms used in Exponential Family Random Graph Models |
| nvattr.copy.network |
Copy network- and vertex-level attributes between two network objects |
| 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 |
| sociality.default |
Functions that have been removed from this package |
| sociality.ergm |
Functions that have been removed from this package |
| sociality.formula |
Functions that have been removed from this package |
| sociality.network |
Functions that have been removed from this package |
| sum |
Terms used in Exponential Family Random Graph Models |
| summary |
Calculation of network or graph statistics |
| summary.ergm |
Summarizing ERGM Model Fits |
| summary.formula |
Calculation of network or graph statistics |
| summary.gofobject |
Summaries the Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model |
| summary.network.list |
Summarizing network.list objects |
| summary.statistics |
Calculation of network or graph statistics |
| summary.statistics.default |
Calculation of network or graph statistics |
| summary.statistics.ergm |
Calculation of network or graph statistics |
| summary.statistics.formula |
Calculation of network or graph statistics |
| summary.statistics.matrix |
Calculation of network or graph statistics |
| summary.statistics.network |
Calculation of network or graph statistics |
| summary.statistics.network.list |
Calculation of network or graph statistics |
| sweep.mcmc.list |
utility operations for mcmc.list objects |
| 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 |
| 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 |
| twopathdist |
Functions that have been removed from this package |