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ergm (version 3.6.1)

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

8,181

Version

3.6.1

License

GPL-3 + file LICENSE

Maintainer

Pavel N Krivitsky

Last Published

January 5th, 2017

Functions in ergm (3.6.1)

control.ergm.bridge

Auxiliary for Controlling ergm.bridge
as.network.numeric

Create a Simple Random network of a Given Size
coef.length.model

Extract Number of parameters in ergm Model
as.edgelist

Convert a network object into a numeric edgelist matrix
check.ErgmTerm

Ensures an Ergm Term and its Arguments Meet Appropriate Conditions
coef.ergm

Extract Model Coefficients
anova.ergm

ANOVA for ERGM Fits
approx.hotelling.diff.test

Approximate Hotelling T^2-Test for One Sample Means
control.ergm

Auxiliary for Controlling ERGM Fitting
control.gof

Auxiliary for Controlling ERGM Goodness-of-Fit Evaluation
control.san

Auxiliary for Controlling SAN
control.logLik.ergm

Auxiliary for Controlling logLik.ergm
degreedist

Computes and Returns the Degree Distribution Information for a Given Network
control.simulate

Auxiliary for Controlling ERGM Simulation
ecoli

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.
ergm_deprecated

Functions that will no longer be supported in future releases of the package
ergm.formula.utils

Internal Functions for Querying, Validating and Extracting from ERGM Formulas
ergm-constraints

Sample Space Constraints for Exponential-Family Random Graph Models
ergm-internal

Internal ergm Objects
ergm.bounddeg

initializes the parameters to bound degree during sampling
ergm.eta

Operations with 'eta' vector of canonical parameter values from ergm model
ergm.bridge.dindstart.llk

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

Calculate the exact loglikelihood for an ERGM
ergm-parallel

is.durational

Testing for durational dependent models
is.curved

Testing for curved exponential family
ergm-references

Reference Measures for Exponential-Family Random Graph Models
ergm

Exponential-Family Random Graph Models
ergm.MHP.table

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

Goodreau's Faux Mesa High School as a network object
get.free.dyads

Create a network containing only edges meeting a specific criteria
fix.curved

Convert a curved ERGM into a corresponding ``fixed'' ERGM.
mcmc.diagnostics

Conduct MCMC diagnostics on an ergm fit
logLik.ergm

A logLik method for ergm.
ergm.Cprepare

Internal Function to Prepare Data for ergm's C Interface
search.ergmTerms

Search the ergm-terms documentation for appropriate terms
print.ergm

Exponential Random Graph Models
ergm.mple

Find a maximizer to the psuedolikelihood function
ergm.degeneracy

Checks an ergm Object for Degeneracy
is.dyad.independent

Testing for dyad-independence
ergmMPLE

ERGM Predictors and response for logistic regression calculation of MPLE
is.inCH

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

Set up the implied constraints from the current constraint
ergm.bridge.llr

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

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

Internal Function to Sample Networks Using C Wrapper
faux.magnolia.high

Goodreau's Faux Magnolia High School as a network object
faux.dixon.high

Faux dixon High School as a network object
plot.gofobject

Plot Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model
plot.network.ergm

Two-Dimensional Visualization of Networks
network.update

Replaces the sociomatrix in a network object
newnw.extract

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

Extract Model Covariance Matrix
summary.statistics

Calculation of network or graph statistics
wtd.median

Weighted Median
ergm_MH_proposals

Metropolis-Hastings Proposal Methods for ERGM MCMC
flobusiness

Florentine Family Business Ties Data as a ``network" object
ergm-package

Fit, Simulate and Diagnose Exponential-Family Models for Networks
flomarriage

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

Florentine Family Marriage and Business Ties Data as a ``network" object
g4

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

Storing last toggle information in a network
kapferer

Kapferer's tailor shop data
standardize.network

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

Summarizing ERGM Model Fits
ergm-terms

Terms used in Exponential Family Random Graph Models
ergm.geodistdist

calculate geodesic distance distribution for a network or edgelist
ergm.allstats

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

internal function to return global statistics for a given network
faux.desert.high

Faux desert High School as a network object
eut-upgrade

Getting.Started

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

utility operations for mcmc.list objects
gof

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

Synthetic network with 20 nodes and 28 edges
nvattr.copy.network

Copy network- and vertex-level attributes between two network objects
get.node.attr

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

Plotting Method for class ergm
summary.gofobject

Summaries the Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model
summary.network.list

Summarizing network.list objects