Running ‘testthat.R’ [105s/114s]
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 8e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.8 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: 3.6213 seconds (Warm-up)
  Chain 1:                3.20681 seconds (Sampling)
  Chain 1:                6.82811 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000113 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.13 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: 2.25587 seconds (Warm-up)
  Chain 1:                2.02669 seconds (Sampling)
  Chain 1:                4.28256 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6.7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.67 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: 0.116733 seconds (Warm-up)
  Chain 1:                0.113689 seconds (Sampling)
  Chain 1:                0.230422 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 5.8e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.58 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 6.6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.66 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 0.000175 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.75 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: 0.744001 seconds (Warm-up)
  Chain 1:                0.777493 seconds (Sampling)
  Chain 1:                1.52149 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000103 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.03 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: 0.768466 seconds (Warm-up)
  Chain 2:                0.966123 seconds (Sampling)
  Chain 2:                1.73459 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 0.0001 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1 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: 0.771598 seconds (Warm-up)
  Chain 3:                0.807939 seconds (Sampling)
  Chain 3:                1.57954 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 0.000106 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.06 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: 0.748961 seconds (Warm-up)
  Chain 4:                0.797619 seconds (Sampling)
  Chain 4:                1.54658 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: 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: 0.261993 seconds (Warm-up)
  Chain 1:                0.108186 seconds (Sampling)
  Chain 1:                0.370179 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: 0.221026 seconds (Warm-up)
  Chain 2:                0.127104 seconds (Sampling)
  Chain 2:                0.34813 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 3.5e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.35 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: 0.284277 seconds (Warm-up)
  Chain 3:                0.279941 seconds (Sampling)
  Chain 3:                0.564218 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: 0.236221 seconds (Warm-up)
  Chain 4:                0.108335 seconds (Sampling)
  Chain 4:                0.344556 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'bernoulli' 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: 0.166385 seconds (Warm-up)
  Chain 1:                0.168088 seconds (Sampling)
  Chain 1:                0.334473 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 3e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.3 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: 0.144282 seconds (Warm-up)
  Chain 2:                0.172194 seconds (Sampling)
  Chain 2:                0.316476 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 3.2e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.32 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: 0.147425 seconds (Warm-up)
  Chain 3:                0.147902 seconds (Sampling)
  Chain 3:                0.295327 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 3.2e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.32 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: 0.145012 seconds (Warm-up)
  Chain 4:                0.143397 seconds (Sampling)
  Chain 4:                0.288409 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.4e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  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: 0.130127 seconds (Warm-up)
  Chain 1:                0.120286 seconds (Sampling)
  Chain 1:                0.250413 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 3e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.3 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: 0.109533 seconds (Warm-up)
  Chain 2:                0.096089 seconds (Sampling)
  Chain 2:                0.205622 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: 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: 0.099418 seconds (Warm-up)
  Chain 3:                0.099286 seconds (Sampling)
  Chain 3:                0.198704 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: 0.127017 seconds (Warm-up)
  Chain 4:                0.09633 seconds (Sampling)
  Chain 4:                0.223347 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.56 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: 0.295297 seconds (Warm-up)
  Chain 1:                0.297901 seconds (Sampling)
  Chain 1:                0.593198 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 3.6e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.36 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: 0.309518 seconds (Warm-up)
  Chain 2:                0.316942 seconds (Sampling)
  Chain 2:                0.62646 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: 0.329558 seconds (Warm-up)
  Chain 3:                0.308065 seconds (Sampling)
  Chain 3:                0.637623 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 3.8e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.38 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: 0.304118 seconds (Warm-up)
  Chain 4:                0.303094 seconds (Sampling)
  Chain 4:                0.607212 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000171 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.71 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: 0.863085 seconds (Warm-up)
  Chain 1:                0.983985 seconds (Sampling)
  Chain 1:                1.84707 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000124 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.24 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: 0.919313 seconds (Warm-up)
  Chain 2:                0.989379 seconds (Sampling)
  Chain 2:                1.90869 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 0.000129 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.29 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: 0.942466 seconds (Warm-up)
  Chain 3:                0.891261 seconds (Sampling)
  Chain 3:                1.83373 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 0.000134 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.34 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: 0.904441 seconds (Warm-up)
  Chain 4:                0.887866 seconds (Sampling)
  Chain 4:                1.79231 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.5e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.55 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: 0.014691 seconds (Warm-up)
  Chain 1:                0.013382 seconds (Sampling)
  Chain 1:                0.028073 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 5.1e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.51 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: 0.029516 seconds (Warm-up)
  Chain 2:                0.017064 seconds (Sampling)
  Chain 2:                0.04658 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 7.3e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.73 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: 0.008872 seconds (Warm-up)
  Chain 3:                0.011654 seconds (Sampling)
  Chain 3:                0.020526 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 4.4e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.44 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: 0.015332 seconds (Warm-up)
  Chain 4:                0.017772 seconds (Sampling)
  Chain 4:                0.033104 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 8.2e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.82 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: 0.252482 seconds (Warm-up)
  Chain 1:                0.330643 seconds (Sampling)
  Chain 1:                0.583125 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 4.3e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.43 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: 0.235962 seconds (Warm-up)
  Chain 2:                0.405907 seconds (Sampling)
  Chain 2:                0.641869 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 6.9e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.69 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: 0.291084 seconds (Warm-up)
  Chain 3:                0.442457 seconds (Sampling)
  Chain 3:                0.733541 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 7.2e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.72 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: 0.254972 seconds (Warm-up)
  Chain 4:                0.338752 seconds (Sampling)
  Chain 4:                0.593724 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' 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: 0.227204 seconds (Warm-up)
  Chain 1:                0.207089 seconds (Sampling)
  Chain 1:                0.434293 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 6e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.6 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: 0.209821 seconds (Warm-up)
  Chain 2:                0.221293 seconds (Sampling)
  Chain 2:                0.431114 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 3.9e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.39 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: 0.229266 seconds (Warm-up)
  Chain 3:                0.223339 seconds (Sampling)
  Chain 3:                0.452605 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: 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: 0.20635 seconds (Warm-up)
  Chain 4:                0.195258 seconds (Sampling)
  Chain 4:                0.401608 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 5.9e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.59 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