Running ‘testthat.R’ [73s/104s]
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 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: 2.41637 seconds (Warm-up)
  Chain 1:                1.00354 seconds (Sampling)
  Chain 1:                3.41991 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL '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: 
  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: 1.82897 seconds (Warm-up)
  Chain 1:                1.02678 seconds (Sampling)
  Chain 1:                2.85575 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.1e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.51 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: 0.080371 seconds (Warm-up)
  Chain 1:                0.079054 seconds (Sampling)
  Chain 1:                0.159425 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 4.7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.47 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 4.7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.47 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 0.000194 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.94 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: 0.614897 seconds (Warm-up)
  Chain 1:                0.639927 seconds (Sampling)
  Chain 1:                1.25482 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 8.2e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.82 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: 0.6127 seconds (Warm-up)
  Chain 2:                0.782884 seconds (Sampling)
  Chain 2:                1.39558 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 8.4e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.84 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: 0.623506 seconds (Warm-up)
  Chain 3:                0.652247 seconds (Sampling)
  Chain 3:                1.27575 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 8.8e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.88 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: 0.601075 seconds (Warm-up)
  Chain 4:                0.649418 seconds (Sampling)
  Chain 4:                1.25049 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL '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: 
  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: 0.135967 seconds (Warm-up)
  Chain 1:                0.063696 seconds (Sampling)
  Chain 1:                0.199663 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 1.6e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.16 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: 0.128575 seconds (Warm-up)
  Chain 2:                0.05887 seconds (Sampling)
  Chain 2:                0.187445 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 1.8e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.18 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: 0.145097 seconds (Warm-up)
  Chain 3:                0.059492 seconds (Sampling)
  Chain 3:                0.204589 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 1.8e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.18 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: 0.114306 seconds (Warm-up)
  Chain 4:                0.053324 seconds (Sampling)
  Chain 4:                0.16763 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 3.9e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.39 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: 0.0855 seconds (Warm-up)
  Chain 1:                0.092236 seconds (Sampling)
  Chain 1:                0.177736 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 2.1e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.21 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: 0.083439 seconds (Warm-up)
  Chain 2:                0.099382 seconds (Sampling)
  Chain 2:                0.182821 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 2e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.2 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: 0.083714 seconds (Warm-up)
  Chain 3:                0.08023 seconds (Sampling)
  Chain 3:                0.163944 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 2e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.2 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: 0.076637 seconds (Warm-up)
  Chain 4:                0.076006 seconds (Sampling)
  Chain 4:                0.152643 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 3.7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.37 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: 0.061768 seconds (Warm-up)
  Chain 1:                0.057522 seconds (Sampling)
  Chain 1:                0.11929 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 1.6e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.16 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: 0.06333 seconds (Warm-up)
  Chain 2:                0.06021 seconds (Sampling)
  Chain 2:                0.12354 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 1.6e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.16 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: 0.05923 seconds (Warm-up)
  Chain 3:                0.061158 seconds (Sampling)
  Chain 3:                0.120388 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 1.8e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.18 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: 0.0675 seconds (Warm-up)
  Chain 4:                0.061314 seconds (Sampling)
  Chain 4:                0.128814 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.3e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.53 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: 0.209947 seconds (Warm-up)
  Chain 1:                0.216189 seconds (Sampling)
  Chain 1:                0.426136 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 3.2e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.32 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: 0.219411 seconds (Warm-up)
  Chain 2:                0.211503 seconds (Sampling)
  Chain 2:                0.430914 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 2.9e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.29 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: 0.21377 seconds (Warm-up)
  Chain 3:                0.201685 seconds (Sampling)
  Chain 3:                0.415455 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 3e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.3 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: 0.195924 seconds (Warm-up)
  Chain 4:                0.200349 seconds (Sampling)
  Chain 4:                0.396273 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000133 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.33 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: 0.74339 seconds (Warm-up)
  Chain 1:                0.833634 seconds (Sampling)
  Chain 1:                1.57702 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000102 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.02 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: 0.788818 seconds (Warm-up)
  Chain 2:                0.824003 seconds (Sampling)
  Chain 2:                1.61282 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 0.000114 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.14 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: 0.800046 seconds (Warm-up)
  Chain 3:                0.752484 seconds (Sampling)
  Chain 3:                1.55253 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 0.000185 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.85 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: 0.757941 seconds (Warm-up)
  Chain 4:                0.755804 seconds (Sampling)
  Chain 4:                1.51375 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.47 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: 0.010265 seconds (Warm-up)
  Chain 1:                0.007863 seconds (Sampling)
  Chain 1:                0.018128 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 2.6e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.26 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: 0.021196 seconds (Warm-up)
  Chain 2:                0.011765 seconds (Sampling)
  Chain 2:                0.032961 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 2.6e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.26 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: 0.00673 seconds (Warm-up)
  Chain 3:                0.007448 seconds (Sampling)
  Chain 3:                0.014178 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 2.4e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.24 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: 0.01026 seconds (Warm-up)
  Chain 4:                0.012842 seconds (Sampling)
  Chain 4:                0.023102 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6.2e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.62 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: 0.15072 seconds (Warm-up)
  Chain 1:                0.192479 seconds (Sampling)
  Chain 1:                0.343199 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 3.3e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.33 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: 0.158637 seconds (Warm-up)
  Chain 2:                0.268678 seconds (Sampling)
  Chain 2:                0.427315 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 4.3e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.43 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: 0.201985 seconds (Warm-up)
  Chain 3:                0.281157 seconds (Sampling)
  Chain 3:                0.483142 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 3.9e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.39 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: 0.165684 seconds (Warm-up)
  Chain 4:                0.248283 seconds (Sampling)
  Chain 4:                0.413967 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.1e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.51 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: 0.149414 seconds (Warm-up)
  Chain 1:                0.147802 seconds (Sampling)
  Chain 1:                0.297216 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 2.5e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 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: 0.146564 seconds (Warm-up)
  Chain 2:                0.149789 seconds (Sampling)
  Chain 2:                0.296353 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: 0.156656 seconds (Warm-up)
  Chain 3:                0.154393 seconds (Sampling)
  Chain 3:                0.311049 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: 0.144697 seconds (Warm-up)
  Chain 4:                0.13768 seconds (Sampling)
  Chain 4:                0.282377 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 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: 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