CRAN Package Check Results for Package ergm.ego

Last updated on 2021-01-24 22:47:29 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.6.1 11.70 179.76 191.46 ERROR
r-devel-linux-x86_64-debian-gcc 0.6.1 8.41 126.78 135.19 OK
r-devel-linux-x86_64-fedora-clang 0.6.1 214.42 OK
r-devel-linux-x86_64-fedora-gcc 0.6.1 206.61 OK
r-devel-windows-ix86+x86_64 0.6.1 23.00 182.00 205.00 OK
r-patched-linux-x86_64 0.6.1 10.71 152.03 162.74 OK
r-patched-solaris-x86 0.6.1 317.40 OK
r-release-linux-x86_64 0.6.1 10.46 153.46 163.92 OK
r-release-macos-x86_64 0.6.1 OK
r-release-windows-ix86+x86_64 0.6.1 18.00 185.00 203.00 OK
r-oldrel-macos-x86_64 0.6.1 OK
r-oldrel-windows-ix86+x86_64 0.6.1 16.00 172.00 188.00 OK

Check Details

Version: 0.6.1
Check: tests
Result: ERROR
     Running 'EgoStat.tests.R' [5s/6s]
     Running 'boot_jack.R' [19s/23s]
     Running 'table_ppop.R' [9s/12s]
     Running 'testthat.R' [37s/38s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > # File tests/testthat.R in package ergm.ego, part of the Statnet suite
     > # of packages for network analysis, https://statnet.org .
     > #
     > # This software is distributed under the GPL-3 license. It is free,
     > # open source, and has the attribution requirements (GPL Section 7) at
     > # https://statnet.org/attribution
     > #
     > # Copyright 2015-2020 Statnet Commons
     > #######################################################################
     > library(testthat)
     >
     > test_check("testthat")
     Starting 2 test processes
     == Warnings ====================================================================
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
     -- Warning (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Model statistics 'nodematch.Grade.11' are linear combinations of some set of preceding statistics at the current stage of the estimation. This may indicate that the model is nonidentifiable.
     Backtrace:
     1. ergm.ego::ergm.ego(...)
     2. ergm::ergm(...)
     3. ergm:::ergm.MCMLE(...)
     4. ergm:::check_nonidentifiability(...)
    
     == Failed tests ================================================================
     -- Error (test-predict.ergm.ego.R:31:3): it just works for model with offsets --
     Error: MCMLE estimation stuck. There may be excessive correlation between model terms, suggesting a poor model for the observed data. If target.stats are specified, try increasing SAN parameters.
     Backtrace:
     x
     1. \-ergm.ego::ergm.ego(...)
     2. \-ergm::ergm(...)
     3. \-ergm:::ergm.MCMLE(...)
    
     [ FAIL 1 | WARN 15 | SKIP 0 | PASS 9 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang