ergm (version 3.1.3)

summary.ergm: Summarizing ERGM Model Fits

Description

summary method for class "ergm".

Usage

## S3 method for class 'ergm':
summary(object, \dots,
               digits = max(3, getOption("digits") - 3),
               correlation = FALSE, covariance = FALSE, 
               total.variation=TRUE,
               eps = 1e-04)

Arguments

object

an object of class "ergm", usually, a result of a call to ergm.

digits

Significant digits for coefficients

correlation

logical; if TRUE, the correlation matrix of the estimated parameters is returned and printed.

covariance

logical; if TRUE, the covariance matrix of the estimated parameters is returned and printed.

total.variation

logical; if TRUE, the standard errors reported in the Std. Error column are based on the sum of the likelihood variation and the MCMC variation. If FALSE only the likelihood varuation is used. The $p$-values are base

eps

number; indicates the smallest p-value. See printCoefmat.

...

Arguments to logLik.ergm

Value

• The function summary.ergm computes and returns a list of summary statistics of the fitted ergm model given in object.

Details

summary.ergm tries to be smart about formatting the coefficients, standard errors, etc.

See Also

network, ergm, print.ergm. The model fitting function ergm, summary.

Function coef will extract the matrix of coefficients with standard errors, t-statistics and p-values.

Examples

data(florentine)

 x <- ergm(flomarriage ~ density)
 summary(x)