• 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