R: Summarizing ERGM Model Fits

summary.ergm {ergm} | R Documentation

## Summarizing ERGM Model Fits

### Description

`summary` method for class `"ergm"`.

### Usage

    ## S3 method for class 'ergm'
    summary(object, ...,
                   digits = max(3, getOption("digits") - 3),
                   correlation = FALSE, covariance = FALSE,
                   total.variation=TRUE)

### 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 based on this source of variation.
`...` | Arguments to `logLik.ergm`

### Details

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

### Value

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

### 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)

[Package ergm version 3.8.0 Index]