* using log directory 'd:/Rcompile/CRANpkg/local64/2.11/latentnet.Rcheck'
* using R version 2.11.1 Patched (2010-07-29 r52657)
* using session charset: ISO8859-1
* checking for file 'latentnet/DESCRIPTION' ... OK
* this is package 'latentnet' version '2.4-0'
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking whether package 'latentnet' can be installed ... OK
* checking package directory ... OK
* checking for portable file names ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking for unstated dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking data for non-ASCII characters ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking for portable use of $BLAS_LIBS ... OK
* checking examples ... ERROR
Running examples in 'latentnet-Ex.R' failed.
The error most likely occurred in:

> ### * ergmm
> 
> flush(stderr()); flush(stdout())
> 
> ### Name: ergmm
> ### Title: Fit a Latent Space Random Graph Model
> ### Aliases: ergmm latent latentcluster
> ### Keywords: graphs
> 
> ### ** Examples
> 
> 
> #
> # Use 'data(package = "latentnet")' to list the data sets in a
> #
> data(package="latentnet")
Data sets in package 'latentnet':

davis                   Southern Women Data Set (Davis) as a bipartite
                        "network" object
samplike (sampson)      Cumulative network of positive affection within
                        a monastery as a "network" object
tribes                  Read Highland Tribes
> #
> # Using Sampson's Monk data, lets fit a 
> # simple latent position model
> #
> data(sampson)
> samp.fit <- ergmm(samplike ~ euclidean(d=2))
> #
> # See if we have convergence in the MCMC
> mcmc.diagnostics(samp.fit)
Chain 1 
Lag 0 
                lpY      beta.1        Z.1.1      Z.1.2
lpY     1.000000000  0.46717035 -0.002357451 -0.2217758
beta.1  0.467170351  1.00000000  0.088188845 -0.3054021
Z.1.1  -0.002357451  0.08818885  1.000000000  0.2925447
Z.1.2  -0.221775763 -0.30540213  0.292544686  1.0000000

Lag 10 
               lpY      beta.1       Z.1.1      Z.1.2
lpY     0.29206352  0.25358755 -0.02301355 -0.1225387
beta.1  0.23886452  0.31507724 -0.02229373 -0.1181561
Z.1.1  -0.02637175 -0.01657416  0.40780400  0.1871902
Z.1.2  -0.12697716 -0.11889265  0.16052441  0.3994369

[[1]]

Quantile (q) = 0.025
Accuracy (r) = +/- 0.0125
Probability (s) = 0.95 
                                              
        Burn-in  Total Lower bound  Dependence
        (M)      (N)   (Nmin)       factor (I)
 lpY    30       6750  600          11.2      
 beta.1 30       6610  600          11.0      
 Z.1.1  40       7970  600          13.3      
 Z.1.2  40       7490  600          12.5      


> #
> # Plot the fit
> #
> plot(samp.fit)
Error: object 'e.curv.as.mult' not found
Execution halted