Running 'testthat.R' [209s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library(bayesGAM)
  > library(SemiPar)
  > 
  > test_check("bayesGAM")
  
  SAMPLING FOR MODEL 'glmm_discrete' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000125 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.25 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.178 seconds (Warm-up)
  Chain 1:                0.105 seconds (Sampling)
  Chain 1:                0.283 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'multresponse_continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 7.1e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.71 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.247 seconds (Warm-up)
  Chain 1:                0.247 seconds (Sampling)
  Chain 1:                0.494 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'multresponse_discrete' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 7.5e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.75 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.076 seconds (Warm-up)
  Chain 1:                0.079 seconds (Sampling)
  Chain 1:                0.155 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'multresponse_discrete' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 8.8e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.88 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 3.64 seconds (Warm-up)
  Chain 1:                2.486 seconds (Sampling)
  Chain 1:                6.126 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'multresponse_continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.4e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 5.323 seconds (Warm-up)
  Chain 1:                8.421 seconds (Sampling)
  Chain 1:                13.744 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 3.6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.402 seconds (Warm-up)
  Chain 1:                0.221 seconds (Sampling)
  Chain 1:                0.623 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.865 seconds (Warm-up)
  Chain 1:                0.341 seconds (Sampling)
  Chain 1:                1.206 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_discrete' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 2.2e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.22 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.032 seconds (Warm-up)
  Chain 1:                0.029 seconds (Sampling)
  Chain 1:                0.061 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_discrete' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 2.5e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.033 seconds (Warm-up)
  Chain 1:                0.031 seconds (Sampling)
  Chain 1:                0.064 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_discrete' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.4e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.039 seconds (Warm-up)
  Chain 1:                0.037 seconds (Sampling)
  Chain 1:                0.076 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_discrete' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 2.9e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.29 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.044 seconds (Warm-up)
  Chain 1:                0.039 seconds (Sampling)
  Chain 1:                0.083 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_discrete' NOW (CHAIN 1).
  Chain 1: Rejecting initial value:
  Chain 1:   Log probability evaluates to log(0), i.e. negative infinity.
  Chain 1:   Stan can't start sampling from this initial value.
  Chain 1: Rejecting initial value:
  Chain 1:   Log probability evaluates to log(0), i.e. negative infinity.
  Chain 1:   Stan can't start sampling from this initial value.
  Chain 1: Rejecting initial value:
  Chain 1:   Log probability evaluates to log(0), i.e. negative infinity.
  Chain 1:   Stan can't start sampling from this initial value.
  Chain 1: Rejecting initial value:
  Chain 1:   Log probability evaluates to log(0), i.e. negative infinity.
  Chain 1:   Stan can't start sampling from this initial value.
  Chain 1: Rejecting initial value:
  Chain 1:   Log probability evaluates to log(0), i.e. negative infinity.
  Chain 1:   Stan can't start sampling from this initial value.
  Chain 1: Rejecting initial value:
  Chain 1:   Log probability evaluates to log(0), i.e. negative infinity.
  Chain 1:   Stan can't start sampling from this initial value.
  Chain 1: Rejecting initial value:
  Chain 1:   Log probability evaluates to log(0), i.e. negative infinity.
  Chain 1:   Stan can't start sampling from this initial value.
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000263 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.63 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.468 seconds (Warm-up)
  Chain 1:                0.348 seconds (Sampling)
  Chain 1:                0.816 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_discrete' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 2.6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.26 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.012 seconds (Warm-up)
  Chain 1:                0.011 seconds (Sampling)
  Chain 1:                0.023 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 3.3e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.193 seconds (Warm-up)
  Chain 1:                0.109 seconds (Sampling)
  Chain 1:                0.302 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 1.9e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.19 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.059 seconds (Warm-up)
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  Chain 1:                0.118 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'glmm_continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 1.6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 0.321 seconds (Warm-up)
  Chain 1:                0.211 seconds (Sampling)
  Chain 1:                0.532 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'multresponse_continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 8.6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.86 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
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  Chain 1: 
  Chain 1:  Elapsed Time: 4.278 seconds (Warm-up)
  Chain 1:                3.036 seconds (Sampling)
  Chain 1:                7.314 seconds (Total)
  Chain 1: 
  [ FAIL 0 | WARN 43 | SKIP 0 | PASS 36 ]
  
  [ FAIL 0 | WARN 43 | SKIP 0 | PASS 36 ]
  > 
  > proc.time()
     user  system elapsed 
    47.84    1.14   49.00