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ergm (version 3.7.1)

Fit, Simulate and Diagnose Exponential-Family Models for Networks

Description

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.

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Version

Install

install.packages('ergm')

Monthly Downloads

6,256

Version

3.7.1

License

GPL-3 + file LICENSE

Maintainer

Pavel N Krivitsky

Last Published

March 21st, 2017

Functions in ergm (3.7.1)

Getting.Started

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

Functions to initialize the MHproposal object

coef.length.model

Extract Number of parameters in ergm Model

Auxiliary for Controlling ERGM Fitting

Convert a network object into a numeric edgelist matrix

as.network.numeric

Create a Simple Random network of a Given Size

ANOVA for ERGM Fits

approx.hotelling.diff.test

Approximate Hotelling T^2-Test for One Sample Means

Ensures an Ergm Term and its Arguments Meet Appropriate Conditions

Extract Model Coefficients

control.logLik.ergm

Auxiliary for Controlling logLik.ergm

Auxiliary for Controlling SAN

control.ergm.bridge

Auxiliary for Controlling ergm.bridge

Auxiliary for Controlling ERGM Goodness-of-Fit Evaluation

control.simulate

Auxiliary for Controlling ERGM Simulation

Computes and Returns the Degree Distribution Information for a Given Network

ergm_MH_proposals

Metropolis-Hastings Proposal Methods for ERGM MCMC

ergm-constraints

Sample Space Constraints for Exponential-Family Random Graph Models

Two versions of an E. Coli network dataset

enformulate.curved

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

Internal Function to Prepare Data for ergm's C Interface

Table mapping reference,constraints, etc. to Metropolis Hastings Proposals (MHP)

Parallel Processing in the ergm Package

Internal ergm Objects

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

ergm.bridge.dindstart.llk

Bridge sampling to estiamte log-likelihood of an ERGM, using a dyad-independent ERGM as a staring point.

Fit, Simulate and Diagnose Exponential-Family Models for Networks

ergm.bridge.llr

A simple implementation of bridge sampling to evaluate log-likelihood-ratio between two ERGM configurations

ergm.degeneracy

Checks an ergm Object for Degeneracy

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

Synthetic network with 20 nodes and 28 edges

Terms used in Exponential Family Random Graph Models

ergm.ConstraintImplications

Set up the implied constraints from the current constraint

ergm.getglobalstats

internal function to return global statistics for a given network

ergm.init.methods

Set up the initial fitting methods for reference measure and query available methods for that reference measure

Updating ergm.userterms prior to 3.1

faux.desert.high

Faux desert High School as a network object

Testing for durational dependent models

Operations with 'eta' vector of canonical parameter values from ergm model

Calculate the exact loglikelihood for an ERGM

Find a maximizer to the psuedolikelihood function

ERGM Predictors and response for logistic regression calculation of MPLE

faux.dixon.high

Faux dixon High School as a network object

faux.magnolia.high

Goodreau's Faux Magnolia High School as a network object

Create a network containing only edges meeting a specific criteria

ergm-references

Reference Measures for Exponential-Family Random Graph Models

ergm.geodistdist

calculate geodesic distance distribution for a network or edgelist

ergm.getMCMCsample

Internal Function to Sample Networks Using C Wrapper

ergm_deprecated

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

Replaces the sociomatrix in a network object

plot.network.ergm

Two-Dimensional Visualization of Networks

Exponential Random Graph Models

is.dyad.independent

Testing for dyad-independence

Storing last toggle information in a network

A logLik method for ergm.

Plotting Method for class ergm

ergm.formula.utils

Internal Functions for Querying, Validating and Extracting from ERGM Formulas

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

Testing for curved exponential family

mcmc.diagnostics

Conduct MCMC diagnostics on an ergm fit

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

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

nvattr.copy.network

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

Florentine Family Business Ties Data as a ``network" object

Florentine Family Marriage Ties Data as a ``network" object

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

Kapferer's tailor shop data

colMeans.mcmc.list

utility operations for mcmc.list objects

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

Longitudinal networks of positive affection within a monastery as a ``network'' object

Cumulative network of positive affection within a monastery as a ``network'' object

Plot 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

Summarizing ERGM Model Fits

summary.gofobject

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

Draw from the distribution of an Exponential Family Random Graph Model

standardize.network

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

Extract Model Covariance Matrix

Weighted Median