* using log directory 'd:/Rcompile/CRANpkg/local/2.8/stochasticGEM.Rcheck'
* using R version 2.8.1 (2008-12-22)
* using session charset: ISO8859-1
* checking for file 'stochasticGEM/DESCRIPTION' ... OK
* this is package 'stochasticGEM' version '0.0-1'
* checking package name space information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking whether package 'stochasticGEM' 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 name space can be loaded with stated dependencies ... 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 cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... 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
* creating stochasticGEM-Ex.R ... OK
* checking examples ... ERROR
Check process probably crashed or hung up for 20 minutes ... killed
Most likely this happened in the example checks (?),
if not, ignore the following last lines of example output:

  2.5%    25%    50%    75%  97.5% 
0.6574 0.9630 1.1174 1.3321 1.7715 

>     #
>     #
>     priors <- list(infectionRate = c(0.0,0.0), 
+         infectiousScale = c(0.0,0.0), infectiousShape = c(0.0,0.0),
+         theta = c(1,0))
>     temp <- SIR.MH(N=119,removalTimes=smallpox, priorValues=priors,
+         bayesReps=1000,burnIn=500,bayesThin=1,infectious.density = "gamma")
>     summary(temp$infRateSIR)

Iterations = 501:1000
Thinning interval = 1 
Number of chains = 1 
Sample size per chain = 500 

1. Empirical mean and standard deviation for each variable,
   plus standard error of the mean:

          Mean             SD       Naive SE Time-series SE 
     6.793e-04      1.282e-04      5.733e-06      7.358e-06 

2. Quantiles for each variable:

     2.5%       25%       50%       75%     97.5% 
0.0004654 0.0005866 0.0006628 0.0007631 0.0009542 

> 
======== End of example output (where crash / hang up occured ?) ========