Running examples in ‘xergm-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: xergm-package
> ### Title: Extensions of Exponential Random Graph Models (ERGM)
> ### Aliases: xergm-package
> 
> ### ** Examples
> 
> # example 1: temporal exponential random graph model (see ?btergm)
> library("statnet")
Loading required package: tergm
Loading required package: networkDynamic

networkDynamic: version 0.9.0, created on 2016-01-12
Copyright (c) 2016, Carter T. Butts, University of California -- Irvine
                    Ayn Leslie-Cook, University of Washington
                    Pavel N. Krivitsky, University of Wollongong
                    Skye Bender-deMoll, University of Washington
                    with contributions from
                    Zack Almquist, University of California -- Irvine
                    David R. Hunter, Penn State University
                    Li Wang
                    Kirk Li, University of Washington
                    Steven M. Goodreau, University of Washington
                    Jeffrey Horner
                    Martina Morris, University of Washington
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("networkDynamic").


tergm: version 3.4.1, created on 2017-09-12
Copyright (c) 2017, Pavel N. Krivitsky, University of Wollongong
                    Mark S. Handcock, University of California -- Los Angeles
                    with contributions from
                    David R. Hunter, Penn State University
                    Steven M. Goodreau, University of Washington
                    Martina Morris, University of Washington
                    Nicole Bohme Carnegie, New York University
                    Carter T. Butts, University of California -- Irvine
                    Ayn Leslie-Cook, University of Washington
                    Skye Bender-deMoll
                    Li Wang
                    Kirk Li, University of Washington
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("tergm").

Loading required package: ergm.count

ergm.count: version 3.2.2, created on 2016-03-29
Copyright (c) 2016, Pavel N. Krivitsky, University of Wollongong
                    with contributions from
                    Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("ergm.count").

NOTE: The form of the term ‘CMP’ has been changed in version 3.2 of
‘ergm.count’. See the news or help('CMP') for more information.

Loading required package: sna
sna: Tools for Social Network Analysis
Version 2.4 created on 2016-07-23.
copyright (c) 2005, Carter T. Butts, University of California-Irvine
 For citation information, type citation("sna").
 Type help(package="sna") to get started.


statnet: version 2016.9, created on 2016-08-29
Copyright (c) 2016, Mark S. Handcock, University of California -- Los Angeles
                    David R. Hunter, Penn State University
                    Carter T. Butts, University of California -- Irvine
                    Steven M. Goodreau, University of Washington
                    Pavel N. Krivitsky, University of Wollongong
                    Skye Bender-deMoll
                    Martina Morris, University of Washington
Based on "statnet" project software (statnet.org).
For license and citation information see statnet.org/attribution
or type citation("statnet").

unable to reach CRAN
> set.seed(5)
> 
> networks <- list()
> for(i in 1:10){            # create 10 random networks with 10 actors
+   mat <- matrix(rbinom(100, 1, .25), nrow = 10, ncol = 10)
+   diag(mat) <- 0           # loops are excluded
+   nw <- network(mat)       # create network object
+   networks[[i]] <- nw      # add network to the list
+ }
> 
> covariates <- list()
> for (i in 1:10) {          # create 10 matrices as covariate
+   mat <- matrix(rnorm(100), nrow = 10, ncol = 10)
+   covariates[[i]] <- mat   # add matrix to the list
+ }
> 
> fit <- btergm(networks ~ edges + istar(2) +
+     edgecov(covariates), R = 100)

Initial dimensions of the network and covariates:
                 t=1 t=2 t=3 t=4 t=5 t=6 t=7 t=8 t=9 t=10
networks (row)    10  10  10  10  10  10  10  10  10   10
networks (col)    10  10  10  10  10  10  10  10  10   10
covariates (row)  10  10  10  10  10  10  10  10  10   10
covariates (col)  10  10  10  10  10  10  10  10  10   10

All networks are conformable.

Dimensions of the network and covariates after adjustment:
                 t=1 t=2 t=3 t=4 t=5 t=6 t=7 t=8 t=9 t=10
networks (row)    10  10  10  10  10  10  10  10  10   10
networks (col)    10  10  10  10  10  10  10  10  10   10
covariates (row)  10  10  10  10  10  10  10  10  10   10
covariates (col)  10  10  10  10  10  10  10  10  10   10
Error in parse(text = x, keep.source = FALSE) : 
  <text>:1:15: unexpected symbol
1: networks[[i]] `~`
                  ^
Calls: btergm ... formula -> formula.character -> formula -> eval -> parse
Execution halted