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`ergm`: Fit, Simulate and Diagnose Exponential-Family Models for Networks

An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis.

Public and Private repositories

To facilitate open development of the package while giving the core developers an opportunity to publish on their developments before opening them up for general use, this project comprises two repositories:

A public repository statnet/ergm
A private repository statnet/ergm-private

The intention is that all developments in statnet/ergm-private will eventually make their way into statnet/ergm and onto CRAN.

Developers and Contributing Users to the Statnet Project should read https://statnet.github.io/private/ for information about the relationship between the public and the private repository and the workflows involved.

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Version

Install

install.packages('ergm')

Monthly Downloads

8,993

Version

3.9.4

License

GPL-3 + file LICENSE

Maintainer

Pavel N Krivitsky

Last Published

August 16th, 2018

Functions in ergm (3.9.4)

ergm-deprecated

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

Sensible error and warning messages by ergm initializers

ergm_MCMC_sample

Internal Function to Sample Networks and Network Statistics

control.ergm.bridge

Auxiliary for Controlling ergm.bridge

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

Internal representation of an ergm network model

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

control.ergm.godfather

Control parameters for ergm.godfather().

Auxiliary for Controlling SAN

mcmc.diagnostics

Conduct MCMC diagnostics on a model fit

control.simulate.ergm

Auxiliary for Controlling ERGM Simulation

as.rlebdm.ergm_conlist

Extract dyad-level ERGM constraint information into an rlebdm object

as.network.numeric

Create a Simple Random network of a Given Size

Create an empty copy of a network object

Synthetic network with 20 nodes and 28 edges

Parallel Processing in the ergm Package

Metropolis-Hastings Proposal Methods for ERGM MCMC

RLE-Compressed Boolean Dyad Matrix

enformulate.curved

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

Exponential-Family Random Graph Models

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

ergm.degeneracy

Checks an ergm Object for Degeneracy

Initializes the parameters to bound degree during sampling

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

ergm.bridge.llr

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

Compute the Sample Estimating Function Values of an ERGM.

ergm_proposal_table

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

ERGM Predictors and response for logistic regression calculation of MPLE

Internal Functions to Prepare Data for ergm's C Interface

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

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

approx.hotelling.diff.test

Approximate Hotelling T^2-Test for One Sample Means

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

Convert a network object into a numeric edgelist matrix

Internal ergm Objects

Fit, Simulate and Diagnose Exponential-Family Models for Networks

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

Find a maximizer to the psuedolikelihood function

Computes and Returns the Degree Distribution Information for a Given Network

faux.desert.high

Faux desert High School as a network object

standardize.network

Copy a network object enforcing ergm-appropriate guarantees about its internal representation

Two versions of an E. Coli network dataset

ergm.geodistdist

Calculate geodesic distance distribution for a network or edgelist

faux.dixon.high

Faux dixon High School as a network object

ergm.getnetwork

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

ergm_plot.mcmc.list

Plot MCMC list using lattice package graphics

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

Updating ergm.userterms prior to 3.1

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

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

Functions to initialize the ergm_proposal object

Testing for curved exponential family

Replace the sociomatrix in a network object

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

search.ergmTerms

Search the ergm-terms documentation for appropriate terms

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

Testing for durational dependent models

Draw from the distribution of an Exponential Family Random Graph Model

is.dyad.independent

Testing for dyad-independence

nvattr.copy.network

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

A logLik method for ergm fits.

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

Calculate the null model likelihood

Names of the parameters associated with an object.

Internal function to create a new network from the ergm MCMC sample output

Helper functions for specifying nodal attribute levels

print.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_formula

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

Ensures an Ergm Term and its Arguments Meet Appropriate Conditions

Auxiliary for Controlling ERGM Fitting

ergm-constraints

Sample Space Constraints for Exponential-Family Random Graph Models

Functions that have been removed from this package

ergm-references

Reference Measures for Exponential-Family Random Graph Models

Operations to map curved ergm() parameters onto canonical parameters

Terms used in Exponential Family Random Graph Models

Calculate the exact loglikelihood for an ERGM

faux.magnolia.high

Goodreau's Faux Magnolia High School as a network object

Goodreau's Faux Mesa High School as a network object

Kapferer's tailor shop data

Storing last toggle information in a network

Specifying nodal attributes and their levels

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

to_ergm_Cdouble.network

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

Weighted Median

Getting.Started

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

ANOVA for ERGM Fits

Auxiliary for Controlling ERGM Goodness-of-Fit Evaluation

control.logLik.ergm

Auxiliary for Controlling logLik.ergm