Running ‘testthat.R’ [99s/111s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(psycho)
  > 
  > test_check("psycho")
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6.1e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
  Chain 1: Iteration: 100 / 1000 [ 10%]  (Warmup)
  Chain 1: Iteration: 200 / 1000 [ 20%]  (Warmup)
  Chain 1: Iteration: 300 / 1000 [ 30%]  (Warmup)
  Chain 1: Iteration: 400 / 1000 [ 40%]  (Warmup)
  Chain 1: Iteration: 500 / 1000 [ 50%]  (Warmup)
  Chain 1: Iteration: 501 / 1000 [ 50%]  (Sampling)
  Chain 1: Iteration: 600 / 1000 [ 60%]  (Sampling)
  Chain 1: Iteration: 700 / 1000 [ 70%]  (Sampling)
  Chain 1: Iteration: 800 / 1000 [ 80%]  (Sampling)
  Chain 1: Iteration: 900 / 1000 [ 90%]  (Sampling)
  Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 3.25636 seconds (Warm-up)
  Chain 1:                2.53058 seconds (Sampling)
  Chain 1:                5.78694 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 7.9e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.79 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
  Chain 1: Iteration: 100 / 1000 [ 10%]  (Warmup)
  Chain 1: Iteration: 200 / 1000 [ 20%]  (Warmup)
  Chain 1: Iteration: 300 / 1000 [ 30%]  (Warmup)
  Chain 1: Iteration: 400 / 1000 [ 40%]  (Warmup)
  Chain 1: Iteration: 500 / 1000 [ 50%]  (Warmup)
  Chain 1: Iteration: 501 / 1000 [ 50%]  (Sampling)
  Chain 1: Iteration: 600 / 1000 [ 60%]  (Sampling)
  Chain 1: Iteration: 700 / 1000 [ 70%]  (Sampling)
  Chain 1: Iteration: 800 / 1000 [ 80%]  (Sampling)
  Chain 1: Iteration: 900 / 1000 [ 90%]  (Sampling)
  Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 2.10126 seconds (Warm-up)
  Chain 1:                1.91476 seconds (Sampling)
  Chain 1:                4.01602 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.2e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
  Chain 1: Iteration: 100 / 1000 [ 10%]  (Warmup)
  Chain 1: Iteration: 200 / 1000 [ 20%]  (Warmup)
  Chain 1: Iteration: 300 / 1000 [ 30%]  (Warmup)
  Chain 1: Iteration: 400 / 1000 [ 40%]  (Warmup)
  Chain 1: Iteration: 500 / 1000 [ 50%]  (Warmup)
  Chain 1: Iteration: 501 / 1000 [ 50%]  (Sampling)
  Chain 1: Iteration: 600 / 1000 [ 60%]  (Sampling)
  Chain 1: Iteration: 700 / 1000 [ 70%]  (Sampling)
  Chain 1: Iteration: 800 / 1000 [ 80%]  (Sampling)
  Chain 1: Iteration: 900 / 1000 [ 90%]  (Sampling)
  Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.112747 seconds (Warm-up)
  Chain 1:                0.112351 seconds (Sampling)
  Chain 1:                0.225098 seconds (Total)
  Chain 1: 
  Chain 1: ------------------------------------------------------------
  Chain 1: EXPERIMENTAL ALGORITHM:
  Chain 1:   This procedure has not been thoroughly tested and may be unstable
  Chain 1:   or buggy. The interface is subject to change.
  Chain 1: ------------------------------------------------------------
  Chain 1: 
  Chain 1: 
  Chain 1: 
  Chain 1: Gradient evaluation took 7.4e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.74 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Begin eta adaptation.
  Chain 1: Iteration:   1 / 250 [  0%]  (Adaptation)
  Chain 1: Iteration:  50 / 250 [ 20%]  (Adaptation)
  Chain 1: Iteration: 100 / 250 [ 40%]  (Adaptation)
  Chain 1: Iteration: 150 / 250 [ 60%]  (Adaptation)
  Chain 1: Iteration: 200 / 250 [ 80%]  (Adaptation)
  Chain 1: Success! Found best value [eta = 1] earlier than expected.
  Chain 1: 
  Chain 1: Begin stochastic gradient ascent.
  Chain 1:   iter             ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Chain 1:    100         -403.800             1.000            1.000
  Chain 1:    200         -199.756             1.011            1.021
  Chain 1:    300         -195.131             0.682            1.000
  Chain 1:    400         -195.234             0.511            1.000
  Chain 1:    500         -194.906             0.409            0.024
  Chain 1:    600         -195.149             0.341            0.024
  Chain 1:    700         -195.587             0.293            0.002   MEDIAN ELBO CONVERGED
  Chain 1: 
  Chain 1: Drawing a sample of size 1000 from the approximate posterior... 
  Chain 1: COMPLETED.
  Chain 1: ------------------------------------------------------------
  Chain 1: EXPERIMENTAL ALGORITHM:
  Chain 1:   This procedure has not been thoroughly tested and may be unstable
  Chain 1:   or buggy. The interface is subject to change.
  Chain 1: ------------------------------------------------------------
  Chain 1: 
  Chain 1: 
  Chain 1: 
  Chain 1: Gradient evaluation took 7.8e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.78 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Begin eta adaptation.
  Chain 1: Iteration:   1 / 250 [  0%]  (Adaptation)
  Chain 1: Iteration:  50 / 250 [ 20%]  (Adaptation)
  Chain 1: Iteration: 100 / 250 [ 40%]  (Adaptation)
  Chain 1: Iteration: 150 / 250 [ 60%]  (Adaptation)
  Chain 1: Iteration: 200 / 250 [ 80%]  (Adaptation)
  Chain 1: Success! Found best value [eta = 1] earlier than expected.
  Chain 1: 
  Chain 1: Begin stochastic gradient ascent.
  Chain 1:   iter             ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Chain 1:    100       -93424.409             1.000            1.000
  Chain 1:    200         -590.743            79.074          157.147
  Chain 1:    300         -522.796            52.759            1.000
  Chain 1:    400         -197.216            39.982            1.651
  Chain 1:    500         -200.744            31.989            1.000
  Chain 1:    600         -197.522            26.660            1.000
  Chain 1:    700         -200.282            22.854            0.130
  Chain 1:    800         -197.453            19.999            0.130
  Chain 1:    900         -195.347            17.778            0.018
  Chain 1:   1000         -196.061            16.000            0.018
  Chain 1:   1100         -198.630            15.902            0.016   MAY BE DIVERGING... INSPECT ELBO
  Chain 1:   1200         -195.774             0.188            0.015
  Chain 1:   1300         -196.035             0.176            0.014
  Chain 1:   1400         -195.408             0.011            0.014
  Chain 1:   1500         -196.486             0.010            0.013   MEAN ELBO CONVERGED
  Chain 1: 
  Chain 1: Drawing a sample of size 1000 from the approximate posterior... 
  Chain 1: COMPLETED.
  ── 1. Failure: If it works. (@test-analyze.stanreg.R#89)  ──────────────────────
  round(values$effects$Sepal.Width$median, 2) not equal to -0.12.
  1/1 mismatches
  [1] -0.33 - -0.12 == -0.21
  
  The Crawford-Howell (1998) t-test suggests no dissociation between test X and test Y (t(5) = 2.10, p = 0.09<b0>). The patient's score on test X is not significantly altered compared to its score on test Y.
  
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000173 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.73 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 1: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 1: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 1: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 1: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 1: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 1: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 1: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 1: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 1: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.772888 seconds (Warm-up)
  Chain 1:                0.794073 seconds (Sampling)
  Chain 1:                1.56696 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000115 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.15 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 2: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 2: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 2: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 2: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 2: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 2: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 2: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 2: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 2: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.763041 seconds (Warm-up)
  Chain 2:                0.95142 seconds (Sampling)
  Chain 2:                1.71446 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 9.9e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.99 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 3: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 3: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 3: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 3: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 3: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 3: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 3: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 3: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 3: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 3: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.76606 seconds (Warm-up)
  Chain 3:                0.79541 seconds (Sampling)
  Chain 3:                1.56147 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 0.000153 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.53 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 4: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 4: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 4: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 4: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 4: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 4: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 4: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 4: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 4: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 4: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.733815 seconds (Warm-up)
  Chain 4:                0.796961 seconds (Sampling)
  Chain 4:                1.53078 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.2e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.52 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 1: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 1: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 1: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 1: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 1: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 1: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 1: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 1: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 1: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.245268 seconds (Warm-up)
  Chain 1:                0.11254 seconds (Sampling)
  Chain 1:                0.357808 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 4.1e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 2: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 2: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 2: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 2: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 2: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 2: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 2: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 2: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 2: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.206789 seconds (Warm-up)
  Chain 2:                0.112348 seconds (Sampling)
  Chain 2:                0.319137 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 2.7e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 3: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 3: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 3: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 3: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 3: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 3: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 3: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 3: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 3: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 3: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.260691 seconds (Warm-up)
  Chain 3:                0.241557 seconds (Sampling)
  Chain 3:                0.502248 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 3.3e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 4: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 4: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 4: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 4: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 4: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 4: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 4: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 4: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 4: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 4: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.204063 seconds (Warm-up)
  Chain 4:                0.102296 seconds (Sampling)
  Chain 4:                0.306359 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.57 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 1: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 1: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 1: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 1: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 1: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 1: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 1: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 1: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 1: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.128672 seconds (Warm-up)
  Chain 1:                0.1344 seconds (Sampling)
  Chain 1:                0.263072 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 3.5e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.35 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 2: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 2: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 2: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 2: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 2: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 2: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 2: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 2: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 2: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.12157 seconds (Warm-up)
  Chain 2:                0.136263 seconds (Sampling)
  Chain 2:                0.257833 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 6.6e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.66 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 3: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 3: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 3: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 3: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 3: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 3: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 3: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 3: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 3: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 3: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.127004 seconds (Warm-up)
  Chain 3:                0.125065 seconds (Sampling)
  Chain 3:                0.252069 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 4.2e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.42 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 4: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 4: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 4: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 4: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 4: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 4: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 4: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 4: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 4: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 4: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.120657 seconds (Warm-up)
  Chain 4:                0.12272 seconds (Sampling)
  Chain 4:                0.243377 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.9e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.49 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 1: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 1: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 1: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 1: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 1: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 1: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 1: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 1: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 1: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.100206 seconds (Warm-up)
  Chain 1:                0.095905 seconds (Sampling)
  Chain 1:                0.196111 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 1.8e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 2: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 2: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 2: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 2: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 2: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 2: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 2: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 2: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 2: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.096157 seconds (Warm-up)
  Chain 2:                0.087114 seconds (Sampling)
  Chain 2:                0.183271 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 3.6e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 3: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 3: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 3: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 3: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 3: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 3: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 3: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 3: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 3: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 3: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.099482 seconds (Warm-up)
  Chain 3:                0.105516 seconds (Sampling)
  Chain 3:                0.204998 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 2.7e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.27 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 4: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 4: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 4: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 4: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 4: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 4: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 4: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 4: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 4: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 4: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.11491 seconds (Warm-up)
  Chain 4:                0.100392 seconds (Sampling)
  Chain 4:                0.215302 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6.9e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 1: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 1: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 1: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 1: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 1: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 1: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 1: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 1: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 1: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.291904 seconds (Warm-up)
  Chain 1:                0.297202 seconds (Sampling)
  Chain 1:                0.589106 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 3.8e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.38 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 2: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 2: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 2: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 2: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 2: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 2: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 2: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 2: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 2: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.304796 seconds (Warm-up)
  Chain 2:                0.298867 seconds (Sampling)
  Chain 2:                0.603663 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 5.5e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.55 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 3: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 3: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 3: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 3: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 3: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 3: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 3: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 3: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 3: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 3: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.302508 seconds (Warm-up)
  Chain 3:                0.270872 seconds (Sampling)
  Chain 3:                0.57338 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 4.5e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.45 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 4: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 4: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 4: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 4: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 4: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 4: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 4: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 4: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 4: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 4: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.276762 seconds (Warm-up)
  Chain 4:                0.279808 seconds (Sampling)
  Chain 4:                0.55657 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.0002 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 1: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 1: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 1: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 1: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 1: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 1: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 1: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 1: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 1: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.916869 seconds (Warm-up)
  Chain 1:                1.02929 seconds (Sampling)
  Chain 1:                1.94615 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000155 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.55 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 2: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 2: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 2: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 2: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 2: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 2: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 2: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 2: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 2: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.97785 seconds (Warm-up)
  Chain 2:                1.03314 seconds (Sampling)
  Chain 2:                2.01099 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 0.000136 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.36 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 3: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 3: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 3: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 3: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 3: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 3: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 3: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 3: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 3: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 3: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.999312 seconds (Warm-up)
  Chain 3:                0.954229 seconds (Sampling)
  Chain 3:                1.95354 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 0.000153 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.53 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 4: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 4: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 4: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 4: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 4: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 4: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 4: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 4: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 4: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 4: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.946355 seconds (Warm-up)
  Chain 4:                0.926324 seconds (Sampling)
  Chain 4:                1.87268 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: WARNING: There aren't enough warmup iterations to fit the
  Chain 1:          three stages of adaptation as currently configured.
  Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 1:          the given number of warmup iterations:
  Chain 1:            init_buffer = 7
  Chain 1:            adapt_window = 38
  Chain 1:            term_buffer = 5
  Chain 1: 
  Chain 1: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 1: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 1: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 1: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 1: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 1: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 1: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 1: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 1: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 1: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 1: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 1: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.015176 seconds (Warm-up)
  Chain 1:                0.010742 seconds (Sampling)
  Chain 1:                0.025918 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 4.6e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: WARNING: There aren't enough warmup iterations to fit the
  Chain 2:          three stages of adaptation as currently configured.
  Chain 2:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 2:          the given number of warmup iterations:
  Chain 2:            init_buffer = 7
  Chain 2:            adapt_window = 38
  Chain 2:            term_buffer = 5
  Chain 2: 
  Chain 2: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 2: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 2: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 2: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 2: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 2: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 2: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 2: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 2: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 2: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 2: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 2: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.025919 seconds (Warm-up)
  Chain 2:                0.014488 seconds (Sampling)
  Chain 2:                0.040407 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 4.1e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: WARNING: There aren't enough warmup iterations to fit the
  Chain 3:          three stages of adaptation as currently configured.
  Chain 3:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 3:          the given number of warmup iterations:
  Chain 3:            init_buffer = 7
  Chain 3:            adapt_window = 38
  Chain 3:            term_buffer = 5
  Chain 3: 
  Chain 3: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 3: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 3: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 3: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 3: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 3: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 3: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 3: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 3: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 3: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 3: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 3: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.008631 seconds (Warm-up)
  Chain 3:                0.010989 seconds (Sampling)
  Chain 3:                0.01962 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 4.1e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: WARNING: There aren't enough warmup iterations to fit the
  Chain 4:          three stages of adaptation as currently configured.
  Chain 4:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 4:          the given number of warmup iterations:
  Chain 4:            init_buffer = 7
  Chain 4:            adapt_window = 38
  Chain 4:            term_buffer = 5
  Chain 4: 
  Chain 4: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 4: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 4: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 4: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 4: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 4: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 4: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 4: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 4: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 4: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 4: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 4: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.014564 seconds (Warm-up)
  Chain 4:                0.016301 seconds (Sampling)
  Chain 4:                0.030865 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000111 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.11 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: WARNING: There aren't enough warmup iterations to fit the
  Chain 1:          three stages of adaptation as currently configured.
  Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 1:          the given number of warmup iterations:
  Chain 1:            init_buffer = 7
  Chain 1:            adapt_window = 38
  Chain 1:            term_buffer = 5
  Chain 1: 
  Chain 1: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 1: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 1: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 1: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 1: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 1: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 1: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 1: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 1: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 1: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 1: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 1: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.237983 seconds (Warm-up)
  Chain 1:                0.320281 seconds (Sampling)
  Chain 1:                0.558264 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 6.8e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.68 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: WARNING: There aren't enough warmup iterations to fit the
  Chain 2:          three stages of adaptation as currently configured.
  Chain 2:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 2:          the given number of warmup iterations:
  Chain 2:            init_buffer = 7
  Chain 2:            adapt_window = 38
  Chain 2:            term_buffer = 5
  Chain 2: 
  Chain 2: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 2: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 2: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 2: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 2: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 2: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 2: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 2: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 2: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 2: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 2: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 2: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.227882 seconds (Warm-up)
  Chain 2:                0.369341 seconds (Sampling)
  Chain 2:                0.597223 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 7.8e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.78 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: WARNING: There aren't enough warmup iterations to fit the
  Chain 3:          three stages of adaptation as currently configured.
  Chain 3:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 3:          the given number of warmup iterations:
  Chain 3:            init_buffer = 7
  Chain 3:            adapt_window = 38
  Chain 3:            term_buffer = 5
  Chain 3: 
  Chain 3: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 3: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 3: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 3: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 3: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 3: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 3: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 3: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 3: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 3: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 3: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 3: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.278882 seconds (Warm-up)
  Chain 3:                0.41254 seconds (Sampling)
  Chain 3:                0.691422 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 6.7e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.67 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: WARNING: There aren't enough warmup iterations to fit the
  Chain 4:          three stages of adaptation as currently configured.
  Chain 4:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 4:          the given number of warmup iterations:
  Chain 4:            init_buffer = 7
  Chain 4:            adapt_window = 38
  Chain 4:            term_buffer = 5
  Chain 4: 
  Chain 4: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 4: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 4: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 4: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 4: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 4: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 4: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 4: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 4: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 4: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 4: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 4: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.226185 seconds (Warm-up)
  Chain 4:                0.299799 seconds (Sampling)
  Chain 4:                0.525984 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.6 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 1: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 1: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 1: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 1: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 1: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 1: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 1: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 1: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 1: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.208533 seconds (Warm-up)
  Chain 1:                0.19224 seconds (Sampling)
  Chain 1:                0.400773 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 4.1e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 2: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 2: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 2: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 2: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 2: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 2: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 2: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 2: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 2: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.190532 seconds (Warm-up)
  Chain 2:                0.201663 seconds (Sampling)
  Chain 2:                0.392195 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 4.8e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.48 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 3: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 3: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 3: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 3: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 3: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 3: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 3: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 3: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 3: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 3: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 3: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 3: 
  Chain 3:  Elapsed Time: 0.211213 seconds (Warm-up)
  Chain 3:                0.212667 seconds (Sampling)
  Chain 3:                0.42388 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 3.3e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 4: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 4: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 4: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 4: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 4: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 4: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 4: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 4: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 4: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 4: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 4: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.197 seconds (Warm-up)
  Chain 4:                0.187656 seconds (Sampling)
  Chain 4:                0.384656 seconds (Total)
  Chain 4: 
  .0%
  .33%
  .67%
  .100%
  1
  Chain 1: ------------------------------------------------------------
  Chain 1: EXPERIMENTAL ALGORITHM:
  Chain 1:   This procedure has not been thoroughly tested and may be unstable
  Chain 1:   or buggy. The interface is subject to change.
  Chain 1: ------------------------------------------------------------
  Chain 1: 
  Chain 1: 
  Chain 1: 
  Chain 1: Gradient evaluation took 7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Begin eta adaptation.
  Chain 1: Iteration:   1 / 250 [  0%]  (Adaptation)
  Chain 1: Iteration:  50 / 250 [ 20%]  (Adaptation)
  Chain 1: Iteration: 100 / 250 [ 40%]  (Adaptation)
  Chain 1: Iteration: 150 / 250 [ 60%]  (Adaptation)
  Chain 1: Iteration: 200 / 250 [ 80%]  (Adaptation)
  Chain 1: Success! Found best value [eta = 1] earlier than expected.
  Chain 1: 
  Chain 1: Begin stochastic gradient ascent.
  Chain 1:   iter             ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Chain 1:    100         -403.800             1.000            1.000
  Chain 1:    200         -199.756             1.011            1.021
  Chain 1:    300         -195.131             0.682            1.000
  Chain 1:    400         -195.234             0.511            1.000
  Chain 1:    500         -194.906             0.409            0.024
  Chain 1:    600         -195.149             0.341            0.024
  Chain 1:    700         -195.587             0.293            0.002   MEDIAN ELBO CONVERGED
  Chain 1: 
  Chain 1: Drawing a sample of size 1000 from the approximate posterior... 
  Chain 1: COMPLETED.
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 182 SKIPPED: 0 FAILED: 1
  1. Failure: If it works. (@test-analyze.stanreg.R#89) 
  
  Error: testthat unit tests failed
  Execution halted