• 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 1.0000000 0.4632868 0.1897052 0.1427738
  beta.1 0.4632868 1.0000000 0.3262412 0.1592792
  Z.1.1 0.1897052 0.3262412 1.0000000 -0.1780107
  Z.1.2 0.1427738 0.1592792 -0.1780107 1.0000000
  
  Lag 10
  lpY beta.1 Z.1.1 Z.1.2
  lpY 0.26720411 0.24172154 0.08711498 0.08783128
  beta.1 0.21902812 0.26472835 0.10032035 0.05721476
  Z.1.1 0.07334797 0.07649308 0.35146716 -0.12626515
  Z.1.2 0.11046670 0.10250387 -0.09231550 0.47411110
  
  [[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 6610 600 11.0
  beta.1 20 6330 600 10.6
  Z.1.1 40 7720 600 12.9
  Z.1.2 50 9240 600 15.4
  
  
  > #
  > # Plot the fit
  > #
  > plot(samp.fit)
  Error: object 'e.curv.as.mult' not found
  Execution halted