Running ‘testthat.R’ [103s/113s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(psycho)
  > 
  > test_check("psycho")
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6.4e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.64 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: 3.44055 seconds (Warm-up)
  Chain 1:                2.97365 seconds (Sampling)
  Chain 1:                6.4142 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 9.5e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.95 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: 2.36442 seconds (Warm-up)
  Chain 1:                2.03731 seconds (Sampling)
  Chain 1:                4.40173 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6.1e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.61 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:   1 / 1000 [  0%]  (Warmup)
  Chain 1: Iteration: 100 / 1000 [ 10%]  (Warmup)
  Chain 1: Iteration: 200 / 1000 [ 20%]  (Warmup)
  Chain 1: Iteration: 300 / 1000 [ 30%]  (Warmup)
  Chain 1: Iteration: 400 / 1000 [ 40%]  (Warmup)
  Chain 1: Iteration: 500 / 1000 [ 50%]  (Warmup)
  Chain 1: Iteration: 501 / 1000 [ 50%]  (Sampling)
  Chain 1: Iteration: 600 / 1000 [ 60%]  (Sampling)
  Chain 1: Iteration: 700 / 1000 [ 70%]  (Sampling)
  Chain 1: Iteration: 800 / 1000 [ 80%]  (Sampling)
  Chain 1: Iteration: 900 / 1000 [ 90%]  (Sampling)
  Chain 1: Iteration: 1000 / 1000 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.125596 seconds (Warm-up)
  Chain 1:                0.11146 seconds (Sampling)
  Chain 1:                0.237056 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 7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Begin eta adaptation.
  Chain 1: Iteration:   1 / 250 [  0%]  (Adaptation)
  Chain 1: Iteration:  50 / 250 [ 20%]  (Adaptation)
  Chain 1: Iteration: 100 / 250 [ 40%]  (Adaptation)
  Chain 1: Iteration: 150 / 250 [ 60%]  (Adaptation)
  Chain 1: Iteration: 200 / 250 [ 80%]  (Adaptation)
  Chain 1: Success! Found best value [eta = 1] earlier than expected.
  Chain 1: 
  Chain 1: Begin stochastic gradient ascent.
  Chain 1:   iter             ELBO   delta_ELBO_mean   delta_ELBO_med   notes 
  Chain 1:    100         -403.800             1.000            1.000
  Chain 1:    200         -199.756             1.011            1.021
  Chain 1:    300         -195.131             0.682            1.000
  Chain 1:    400         -195.234             0.511            1.000
  Chain 1:    500         -194.906             0.409            0.024
  Chain 1:    600         -195.149             0.341            0.024
  Chain 1:    700         -195.587             0.293            0.002   MEDIAN ELBO CONVERGED
  Chain 1: 
  Chain 1: Drawing a sample of size 1000 from the approximate posterior... 
  Chain 1: COMPLETED.
  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       -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 0.000245 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.45 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: 0.770503 seconds (Warm-up)
  Chain 1:                0.80368 seconds (Sampling)
  Chain 1:                1.57418 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000136 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.36 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: 0.770329 seconds (Warm-up)
  Chain 2:                0.974849 seconds (Sampling)
  Chain 2:                1.74518 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 9.6e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.96 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: 0.759539 seconds (Warm-up)
  Chain 3:                0.806347 seconds (Sampling)
  Chain 3:                1.56589 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 0.000105 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.05 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: 0.75625 seconds (Warm-up)
  Chain 4:                0.814413 seconds (Sampling)
  Chain 4:                1.57066 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (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: 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: 0.202908 seconds (Warm-up)
  Chain 1:                0.097757 seconds (Sampling)
  Chain 1:                0.300665 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 2.9e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.29 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: 0.192774 seconds (Warm-up)
  Chain 2:                0.107469 seconds (Sampling)
  Chain 2:                0.300243 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' 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: 0.234223 seconds (Warm-up)
  Chain 3:                0.209924 seconds (Sampling)
  Chain 3:                0.444147 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: 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: 0.177145 seconds (Warm-up)
  Chain 4:                0.078868 seconds (Sampling)
  Chain 4:                0.256013 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.5 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: 0.142901 seconds (Warm-up)
  Chain 1:                0.142507 seconds (Sampling)
  Chain 1:                0.285408 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'bernoulli' 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: 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: 0.130487 seconds (Warm-up)
  Chain 2:                0.152408 seconds (Sampling)
  Chain 2:                0.282895 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 3.1e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.31 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: 0.125206 seconds (Warm-up)
  Chain 3:                0.12807 seconds (Sampling)
  Chain 3:                0.253276 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 4.8e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.48 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: 0.113195 seconds (Warm-up)
  Chain 4:                0.114435 seconds (Sampling)
  Chain 4:                0.22763 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.3e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.43 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: 0.09605 seconds (Warm-up)
  Chain 1:                0.093086 seconds (Sampling)
  Chain 1:                0.189136 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 2.2e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.22 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: 0.091374 seconds (Warm-up)
  Chain 2:                0.092578 seconds (Sampling)
  Chain 2:                0.183952 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 2.1e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.21 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: 0.092738 seconds (Warm-up)
  Chain 3:                0.091815 seconds (Sampling)
  Chain 3:                0.184553 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' 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: 0.10941 seconds (Warm-up)
  Chain 4:                0.098566 seconds (Sampling)
  Chain 4:                0.207976 seconds (Total)
  Chain 4: 
  
  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 / 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: 0.307977 seconds (Warm-up)
  Chain 1:                0.3062 seconds (Sampling)
  Chain 1:                0.614177 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: 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: 0.313759 seconds (Warm-up)
  Chain 2:                0.308888 seconds (Sampling)
  Chain 2:                0.622647 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 3.4e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.34 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: 0.309142 seconds (Warm-up)
  Chain 3:                0.282612 seconds (Sampling)
  Chain 3:                0.591754 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 4e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.4 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: 0.282173 seconds (Warm-up)
  Chain 4:                0.27954 seconds (Sampling)
  Chain 4:                0.561713 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000172 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.72 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: 0.921435 seconds (Warm-up)
  Chain 1:                1.05307 seconds (Sampling)
  Chain 1:                1.97451 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.00015 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.5 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: 1.04776 seconds (Warm-up)
  Chain 2:                1.06594 seconds (Sampling)
  Chain 2:                2.1137 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 0.000154 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.54 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: 0.89057 seconds (Warm-up)
  Chain 3:                0.95915 seconds (Sampling)
  Chain 3:                1.84972 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 0.000155 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.55 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: 0.962009 seconds (Warm-up)
  Chain 4:                0.938361 seconds (Sampling)
  Chain 4:                1.90037 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.7 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: WARNING: There aren't enough warmup iterations to fit the
  Chain 1:          three stages of adaptation as currently configured.
  Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 1:          the given number of warmup iterations:
  Chain 1:            init_buffer = 7
  Chain 1:            adapt_window = 38
  Chain 1:            term_buffer = 5
  Chain 1: 
  Chain 1: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 1: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 1: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 1: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 1: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 1: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 1: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 1: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 1: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 1: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 1: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 1: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.015146 seconds (Warm-up)
  Chain 1:                0.010837 seconds (Sampling)
  Chain 1:                0.025983 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: 0.029152 seconds (Warm-up)
  Chain 2:                0.016401 seconds (Sampling)
  Chain 2:                0.045553 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 4.6e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.46 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: 0.00918 seconds (Warm-up)
  Chain 3:                0.011093 seconds (Sampling)
  Chain 3:                0.020273 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: 0.014998 seconds (Warm-up)
  Chain 4:                0.017393 seconds (Sampling)
  Chain 4:                0.032391 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 8.1e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.81 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: 0.232886 seconds (Warm-up)
  Chain 1:                0.30036 seconds (Sampling)
  Chain 1:                0.533246 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 5.6e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.56 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: 0.216661 seconds (Warm-up)
  Chain 2:                0.377256 seconds (Sampling)
  Chain 2:                0.593917 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 7.1e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.71 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: 0.281099 seconds (Warm-up)
  Chain 3:                0.412024 seconds (Sampling)
  Chain 3:                0.693123 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 4.3e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.43 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: 0.218154 seconds (Warm-up)
  Chain 4:                0.288814 seconds (Sampling)
  Chain 4:                0.506968 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (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: 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: 0.191327 seconds (Warm-up)
  Chain 1:                0.17252 seconds (Sampling)
  Chain 1:                0.363847 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 6.9e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.69 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: 0.189913 seconds (Warm-up)
  Chain 2:                0.188993 seconds (Sampling)
  Chain 2:                0.378906 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 3.3e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.33 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: 0.197041 seconds (Warm-up)
  Chain 3:                0.193925 seconds (Sampling)
  Chain 3:                0.390966 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 3.1e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.31 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: 0.176078 seconds (Warm-up)
  Chain 4:                0.185398 seconds (Sampling)
  Chain 4:                0.361476 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 5.8e-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.
  ══ 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