CRAN Package Check Results for Package tergm

Last updated on 2018-04-26 10:47:31 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.4.1 13.49 478.57 492.06 OK
r-devel-linux-x86_64-debian-gcc 3.4.1 10.95 472.24 483.19 OK
r-devel-linux-x86_64-fedora-clang 3.4.1 676.24 OK
r-devel-linux-x86_64-fedora-gcc 3.4.1 658.96 OK
r-devel-windows-ix86+x86_64 3.4.1 35.00 333.00 368.00 OK --no-vignettes
r-patched-linux-x86_64 3.4.1 11.50 543.46 554.96 OK
r-patched-solaris-x86 3.4.1 1364.50 OK
r-release-linux-x86_64 3.4.1 11.79 545.77 557.56 OK
r-release-windows-ix86+x86_64 3.4.1 35.00 333.00 368.00 OK --no-vignettes
r-release-osx-x86_64 3.4.1 FAIL
r-oldrel-windows-ix86+x86_64 3.4.1 21.00 525.00 546.00 OK --no-vignettes
r-oldrel-osx-x86_64 3.4.1 OK

Check Details

Version: 3.4.1
Check: re-building of vignette outputs
Result: NOTE
    Error in re-building vignettes:
     ...
    Evaluating log-likelihood at the estimate. Using 20 bridges: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 .
    This model was fit using MCMC. To examine model diagnostics and check for degeneracy, use the mcmc.diagnostics() function.
    Starting maximum likelihood estimation via MCMLE:
    Iteration 1 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.3009.
    Step length converged once. Increasing MCMC sample size.
    Iteration 2 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.0008755.
    Step length converged twice. Stopping.
    Evaluating log-likelihood at the estimate. Using 20 bridges: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 .
    This model was fit using MCMC. To examine model diagnostics and check for degeneracy, use the mcmc.diagnostics() function.
    Starting maximum likelihood estimation via MCMLE:
    Iteration 1 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.4482.
    Step length converged once. Increasing MCMC sample size.
    Iteration 2 of at most 20:
    Optimizing with step length 1.
    The log-likelihood improved by 0.007716.
    Step length converged twice. Stopping.
    This model was fit using MCMC. To examine model diagnostics and check for degeneracy, use the mcmc.diagnostics() function.
    
    Execution halted
Flavor: r-release-osx-x86_64

Version: 3.4.1
Check: PDF version of manual
Result: FAIL
    
Flavor: r-release-osx-x86_64