ergm

Getting Started with "ergm": Fit, simulate and diagnose exponential-family models for networks

ANOVA for ERGM Fits

Approximate Hotelling T^2-Test for One or Two Population Means

Create a Simple Random network of a Given Size

Extract dyad-level ERGM constraint information from an ergm fit into an rlebdm object

Extract dyad-level ERGM constraint information into an rlebdm object

Ensures an Ergm Term and its Arguments Meet Appropriate Conditions

Auxiliary for Controlling ERGM Fitting

Auxiliary for Controlling ergm.bridge

Control parameters for ergm.godfather().

Auxiliary for Controlling ERGM Goodness-of-Fit Evaluation

Auxiliary for Controlling logLik.ergm

Auxiliary for Controlling SAN

Auxiliary for Controlling ERGM Simulation

Computes and Returns the Degree Distribution Information for a Given Network

Two versions of an E. Coli network dataset

edges (disambiguation)

Convert a curved ERGM into a form suitable as initial values for the same ergm.

Exponential-Family Random Graph Models

Sample Space Constraints for Exponential-Family Random Graph Models

Functions that have been removed from this package

Functions that will no longer be supported in future releases of the package

Sensible error and warning messages by ergm initializers

Internal ergm Objects

Fit, Simulate and Diagnose Exponential-Family Models for Networks

Parallel Processing in the ergm Package

Metropolis-Hastings Proposal Methods for ERGM MCMC

Reference Measures for Exponential-Family Random Graph Models

Terms used in Exponential Family Random Graph Models

Calculate all possible vectors of statistics on a network for an ERGM

Initializes the parameters to bound degree during sampling

Bridge sampling to evaluate ERGM log-likelihoods and log-likelihood ratios

Compute the Sample Estimating Function Values of an ERGM.

Operations to map curved ergm() parameters onto canonical parameters

Calculate the exact loglikelihood for an ERGM

Calculate geodesic distance distribution for a network or edgelist

Acquire and verify the network from the LHS of an ergm formula and verify that it is a valid network.

A function to apply a given series of changes to a network.

Find a maximizer to the psuedolikelihood function

ERGM Predictors and response for logistic regression calculation of MPLE

Internal Functions to Prepare Data for ergm's C Interface

Internal Function to Sample Networks and Network Statistics

Internal representation of an ergm network model

Plot MCMC list using lattice package graphics

Functions to initialize the ergm_proposal object

Table mapping reference,constraints, etc. to ERGM Metropolis-Hastings proposals

Updating ergm.userterms prior to 3.1

Faux desert High School as a network object

Faux dixon High School as a network object

Goodreau's Faux Magnolia High School as a network object

Goodreau's Faux Mesa High School as a network object

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

Florentine Family Marriage and Business Ties Data as a "network" object

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

Retrieve and check assumptions about vertex attributes (nodal covariates) in a network

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

Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model

hamming (disambiguation)

Testing for curved exponential family

Testing for durational dependent models

Testing for dyad-independence

Determine whether a vector is in the closure of the convex hull of some sample of vectors

Kapferer's tailor shop data

Storing last toggle information in a network

A logLik method for ergm fits.

Calculate the null model likelihood

Conduct MCMC diagnostics on a model fit

Synthetic network with 20 nodes and 28 edges

A convenience container for a list of network objects, output by simulate.ergm among others.

Specifying nodal attributes and their levels

Helper functions for specifying nodal attribute levels

Length of the parameter vector associated with an object or with its terms.

Copy network- and vertex-level attributes between two network objects

Names of the parameters associated with an object.

A (Relatively) Lightweight Read-Only Representation of Network Objects

ERGM-based tie probabilities

RLE-Compressed Boolean Dyad Matrix

Longitudinal networks of positive affection within a monastery as a "network" object

Cumulative network of positive affection within a monastery as a "network" object

Use Simulated Annealing to attempt to match a network to a vector of mean statistics

Search the ergm-terms documentation for appropriate terms

Draw from the distribution of an Exponential Family Random Graph Model

A simulate Method for formula objects that dispatches based on the Left-Hand Side

Multivariate version of coda's spectrum0.ar().

Summarizing ERGM Model Fits

Evaluate network summary statistics from an initialized ergm model

Calculation of network or graph statistics or other attributes specified on a formula

Dispatching a summary function based on the class of the LHS of a formula.

Methods to serialize objects into numeric vectors for passing to the C side.

Update the edges in a network based on a matrix

Weighted Median