Fit, Simulate and Diagnose Exponential-Family Models for Networks

anova.ergm | ANOVA for ERGM Fits |

approx.hotelling.diff.test | Approximate Hotelling T^2-Test for One Sample Means |

as.edgelist | Convert a network object into a numeric edgelist matrix |

as.network.numeric | Create a Simple Random network of a Given Size |

as.rlebdm.ergm_conlist | Extract dyad-level ERGM constraint information into an... |

check.ErgmTerm | Ensures an Ergm Term and its Arguments Meet Appropriate... |

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.logLik.ergm | Auxiliary for Controlling logLik.ergm |

control.san | Auxiliary for Controlling SAN |

control.simulate.ergm | Auxiliary for Controlling ERGM Simulation |

degreedist | Computes and Returns the Degree Distribution Information for... |

ecoli | Two versions of an E. Coli network dataset |

empty_network | Create an empty copy of a network object |

enformulate.curved | Convert a curved ERGM into a form suitable as initial values... |

ergm | Exponential-Family Random Graph Models |

ergm.allstats | Calculate all possible vectors of statistics on a network for... |

ergm.bounddeg | Initializes the parameters to bound degree during sampling |

ergm.bridge.llr | Bridge sampling to evaluate ERGM log-likelihoods and... |

ergm_Clist | Internal Functions to Prepare Data for ergm's C Interface |

ergm-constraints | Sample Space Constraints for Exponential-Family Random Graph... |

ergm-defunct | Functions that have been removed from this package |

ergm.degeneracy | Checks an ergm Object for Degeneracy |

ergm-deprecated | Functions that will no longer be supported in future releases... |

ergm-errors | Sensible error and warning messages by 'ergm' initializers |

ergm.estfun | Compute the Sample Estimating Function Values of an ERGM. |

ergm.eta | Operations to map curved 'ergm()' parameters onto canonical... |

ergm.exact | Calculate the exact loglikelihood for an ERGM |

ergm.geodistdist | Calculate geodesic distance distribution for a network or... |

ergm.getnetwork | Acquire and verify the network from the LHS of an 'ergm'... |

ergm.godfather | A function to apply a given series of changes to a network. |

ergm-internal | Internal ergm Objects |

ergm_MCMC_sample | Internal Function to Sample Networks and Network Statistics |

ergm_model | Internal representation of an 'ergm' network model |

ergm.mple | Find a maximizer to the psuedolikelihood function |

ergmMPLE | ERGM Predictors and response for logistic regression... |

ergm-package | Fit, Simulate and Diagnose Exponential-Family Models for... |

ergm-parallel | Parallel Processing in the 'ergm' Package |

ergm_plot.mcmc.list | Plot MCMC list using 'lattice' package graphics |

ergm_proposal | Functions to initialize the ergm_proposal object |

ergm-proposals | Metropolis-Hastings Proposal Methods for ERGM MCMC |

ergm_proposal_table | Table mapping reference,constraints, etc. to ERGM... |

ergm-references | Reference Measures for Exponential-Family Random Graph Models |

ergm-terms | 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 |

fix.curved | Convert a curved ERGM into a corresponding "fixed" ERGM. |

florentine | Florentine Family Marriage and Business Ties Data as a... |

g4 | Goodreau's four node network as a "network" object |

get.node.attr | Retrieve and check assumptions about vertex attributes (nodal... |

Getting.Started | Getting Started with "ergm": Fit, simulate and diagnose... |

geweke.diag.mv | Multivariate version of 'coda"s 'coda::geweke.diag()'. |

gof | Conduct Goodness-of-Fit Diagnostics on a Exponential Family... |

is.curved | Testing for curved exponential family |

is.durational | Testing for durational dependent models |

is.dyad.independent | Testing for dyad-independence |

is.inCH | Determine whether a vector is in the closure of the convex... |

kapferer | Kapferer's tailor shop data |

lasttoggle | Storing last toggle information in a network |

logLik.ergm | A 'logLik' method for 'ergm' fits. |

logLikNull | Calculate the null model likelihood |

mcmc.diagnostics | Conduct MCMC diagnostics on a model fit |

molecule | Synthetic network with 20 nodes and 28 edges |

network.list | A convenience container for a list of 'network' objects,... |

network.update | Replace the sociomatrix in a network object |

newnw.extract | Internal function to create a new network from the ergm MCMC... |

node-attr | Specifying nodal attributes and their levels |

node-attr-api | Helper functions for specifying nodal attribute levels |

nparam | Length of the parameter vector associated with an object or... |

nvattr.copy.network | Copy network- and vertex-level attributes between two network... |

param_names | Names of the parameters associated with an object. |

rlebdm | RLE-Compressed Boolean Dyad Matrix |

samplk | Longitudinal networks of positive affection within a... |

sampson | Cumulative network of positive affection within a monastery... |

san | Use Simulated Annealing to attempt to match a network to a... |

search.ergmTerms | Search the ergm-terms documentation for appropriate terms |

simulate.ergm | Draw from the distribution of an Exponential Family Random... |

spectrum0.mvar | Multivariate version of 'coda"s 'spectrum0.ar()'. |

standardize.network | Copy a network object enforcing ergm-appropriate guarantees... |

summary.ergm | Summarizing ERGM Model Fits |

summary.ergm_model | Evaluate network summary statistics from an initialized ergm... |

summary_formula | Dispatching a summary function based on the class of the LHS... |

summary.formula | Calculation of network or graph statistics or other... |

to_ergm_Cdouble | Methods to serialize objects into numeric vectors for passing... |

wtd.median | Weighted Median |

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