Running ‘testthat.R’ [127s/304s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(glmmboot)
  > 
  > test_check("glmmboot")
  ══ Warnings ════════════════════════════════════════════════════════════════════
  ── Warning (test-bootstrap_model.R:131:5): bootstrap_model works on zero-inflated models ──
  'giveCsparse' has been deprecated; setting 'repr = "T"' for you
  Backtrace:
   1. glmmTMB::glmmTMB(...) test-bootstrap_model.R:131:4
   2. glmmTMB:::mkTMBStruc(...)
   4. glmmTMB:::sparseXval("cond", condList)
   5. Matrix::sparseMatrix(...)
  ── Warning (test-bootstrap_model.R:131:5): bootstrap_model works on zero-inflated models ──
  'giveCsparse' has been deprecated; setting 'repr = "T"' for you
  Backtrace:
   1. glmmTMB::glmmTMB(...) test-bootstrap_model.R:131:4
   2. glmmTMB:::mkTMBStruc(...)
   4. glmmTMB:::sparseXval("zi", ziList)
   5. Matrix::sparseMatrix(...)
  ── Warning (test-bootstrap_model.R:131:5): bootstrap_model works on zero-inflated models ──
  'giveCsparse' has been deprecated; setting 'repr = "T"' for you
  Backtrace:
   1. glmmTMB::glmmTMB(...) test-bootstrap_model.R:131:4
   2. glmmTMB:::mkTMBStruc(...)
   4. glmmTMB:::sparseXval("disp", dispList)
   5. Matrix::sparseMatrix(...)
  ── Warning (test-bootstrap_model.R:184:5): bootstrap_model parallelism modes ───
  UNRELIABLE VALUE: Future ('future_lapply-1') unexpectedly generated random numbers without specifying argument 'future.seed'. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-CMRG method. To disable this check, use 'future.seed=NULL', or set option 'future.rng.onMisuse' to "ignore".
  Backtrace:
  ── Warning (test-bootstrap_model.R:199:5): bootstrap_model parallelism modes ───
  UNRELIABLE VALUE: Future ('future_lapply-1') unexpectedly generated random numbers without specifying argument 'future.seed'. There is a risk that those random numbers are not statistically sound and the overall results might be invalid. To fix this, specify 'future.seed=TRUE'. This ensures that proper, parallel-safe random numbers are produced via the L'Ecuyer-CMRG method. To disable this check, use 'future.seed=NULL', or set option 'future.rng.onMisuse' to "ignore".
  Backtrace:
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure (test-bootstrap_model.R:93:5): bootstrap_model works on test_data ───
  `bootstrap_model(...)` did not produce any warnings.
  
  [ FAIL 1 | WARN 5 | SKIP 0 | PASS 62 ]
  Error: Test failures
  Execution halted