Running ‘testthat.R’ [101s/110s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(psycho)
  > 
  > test_check("psycho")
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 5.6e-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 / 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: 3.33761 seconds (Warm-up)
  Chain 1:                2.81119 seconds (Sampling)
  Chain 1:                6.1488 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 6.9e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.69 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: Iteration:   1 / 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: 2.1106 seconds (Warm-up)
  Chain 1:                1.92162 seconds (Sampling)
  Chain 1:                4.03222 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: 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: 0.110426 seconds (Warm-up)
  Chain 1:                0.109068 seconds (Sampling)
  Chain 1:                0.219494 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 5.9e-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.
  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 5.5e-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: 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 0.000157 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.57 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: 0.775952 seconds (Warm-up)
  Chain 1:                0.797436 seconds (Sampling)
  Chain 1:                1.57339 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000101 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.01 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: 0.780466 seconds (Warm-up)
  Chain 2:                0.970999 seconds (Sampling)
  Chain 2:                1.75147 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 0.000112 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.12 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: 0.774445 seconds (Warm-up)
  Chain 3:                0.813341 seconds (Sampling)
  Chain 3:                1.58779 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: 0.753427 seconds (Warm-up)
  Chain 4:                0.822218 seconds (Sampling)
  Chain 4:                1.57564 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.5e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.45 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: 0.222129 seconds (Warm-up)
  Chain 1:                0.105145 seconds (Sampling)
  Chain 1:                0.327274 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 2.3e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.202118 seconds (Warm-up)
  Chain 2:                0.11626 seconds (Sampling)
  Chain 2:                0.318378 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 2.3e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.23 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: 0.247769 seconds (Warm-up)
  Chain 3:                0.233445 seconds (Sampling)
  Chain 3:                0.481214 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: 0.200329 seconds (Warm-up)
  Chain 4:                0.094809 seconds (Sampling)
  Chain 4:                0.295138 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.6e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  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: 0.141257 seconds (Warm-up)
  Chain 1:                0.148464 seconds (Sampling)
  Chain 1:                0.289721 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 4e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.4 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: 0.134485 seconds (Warm-up)
  Chain 2:                0.150897 seconds (Sampling)
  Chain 2:                0.285382 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 3e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.3 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: 0.117262 seconds (Warm-up)
  Chain 3:                0.12723 seconds (Sampling)
  Chain 3:                0.244492 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'bernoulli' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 2.8e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.28 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: 0.121519 seconds (Warm-up)
  Chain 4:                0.115958 seconds (Sampling)
  Chain 4:                0.237477 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: 0.100637 seconds (Warm-up)
  Chain 1:                0.089107 seconds (Sampling)
  Chain 1:                0.189744 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 1.8e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.18 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: Iteration:    1 / 2000 [  0%]  (Warmup)
  Chain 2: Iteration:  200 / 2000 [ 10%]  (Warmup)
  Chain 2: Iteration:  400 / 2000 [ 20%]  (Warmup)
  Chain 2: Iteration:  600 / 2000 [ 30%]  (Warmup)
  Chain 2: Iteration:  800 / 2000 [ 40%]  (Warmup)
  Chain 2: Iteration: 1000 / 2000 [ 50%]  (Warmup)
  Chain 2: Iteration: 1001 / 2000 [ 50%]  (Sampling)
  Chain 2: Iteration: 1200 / 2000 [ 60%]  (Sampling)
  Chain 2: Iteration: 1400 / 2000 [ 70%]  (Sampling)
  Chain 2: Iteration: 1600 / 2000 [ 80%]  (Sampling)
  Chain 2: Iteration: 1800 / 2000 [ 90%]  (Sampling)
  Chain 2: Iteration: 2000 / 2000 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.092711 seconds (Warm-up)
  Chain 2:                0.087151 seconds (Sampling)
  Chain 2:                0.179862 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 1.7e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.17 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: 0.096468 seconds (Warm-up)
  Chain 3:                0.099285 seconds (Sampling)
  Chain 3:                0.195753 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: 0.117373 seconds (Warm-up)
  Chain 4:                0.10065 seconds (Sampling)
  Chain 4:                0.218023 seconds (Total)
  Chain 4: 
  
  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 / 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: 0.294091 seconds (Warm-up)
  Chain 1:                0.298638 seconds (Sampling)
  Chain 1:                0.592729 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 4.8e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.48 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: 0.313706 seconds (Warm-up)
  Chain 2:                0.30723 seconds (Sampling)
  Chain 2:                0.620936 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 4.1e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.41 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: 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: 0.301168 seconds (Warm-up)
  Chain 3:                0.244481 seconds (Sampling)
  Chain 3:                0.545649 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 5.2e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.52 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: 0.248858 seconds (Warm-up)
  Chain 4:                0.257883 seconds (Sampling)
  Chain 4:                0.506741 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 0.000159 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.59 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: 0.914696 seconds (Warm-up)
  Chain 1:                1.03485 seconds (Sampling)
  Chain 1:                1.94954 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 0.000144 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 1.44 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: 1.00163 seconds (Warm-up)
  Chain 2:                1.03128 seconds (Sampling)
  Chain 2:                2.03291 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 0.000169 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 1.69 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: 1.00927 seconds (Warm-up)
  Chain 3:                0.905453 seconds (Sampling)
  Chain 3:                1.91472 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 0.000189 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 1.89 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: 0.969094 seconds (Warm-up)
  Chain 4:                0.933186 seconds (Sampling)
  Chain 4:                1.90228 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 4.7e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.47 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: WARNING: There aren't enough warmup iterations to fit the
  Chain 1:          three stages of adaptation as currently configured.
  Chain 1:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 1:          the given number of warmup iterations:
  Chain 1:            init_buffer = 7
  Chain 1:            adapt_window = 38
  Chain 1:            term_buffer = 5
  Chain 1: 
  Chain 1: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 1: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 1: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 1: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 1: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 1: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 1: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 1: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 1: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 1: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 1: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 1: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 1: 
  Chain 1:  Elapsed Time: 0.014427 seconds (Warm-up)
  Chain 1:                0.010087 seconds (Sampling)
  Chain 1:                0.024514 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 3.3e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.33 seconds.
  Chain 2: Adjust your expectations accordingly!
  Chain 2: 
  Chain 2: 
  Chain 2: WARNING: There aren't enough warmup iterations to fit the
  Chain 2:          three stages of adaptation as currently configured.
  Chain 2:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 2:          the given number of warmup iterations:
  Chain 2:            init_buffer = 7
  Chain 2:            adapt_window = 38
  Chain 2:            term_buffer = 5
  Chain 2: 
  Chain 2: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 2: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 2: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 2: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 2: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 2: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 2: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 2: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 2: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 2: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 2: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 2: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 2: 
  Chain 2:  Elapsed Time: 0.028261 seconds (Warm-up)
  Chain 2:                0.01508 seconds (Sampling)
  Chain 2:                0.043341 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 4.8e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.48 seconds.
  Chain 3: Adjust your expectations accordingly!
  Chain 3: 
  Chain 3: 
  Chain 3: 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: 0.008587 seconds (Warm-up)
  Chain 3:                0.010021 seconds (Sampling)
  Chain 3:                0.018608 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 3.9e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.39 seconds.
  Chain 4: Adjust your expectations accordingly!
  Chain 4: 
  Chain 4: 
  Chain 4: WARNING: There aren't enough warmup iterations to fit the
  Chain 4:          three stages of adaptation as currently configured.
  Chain 4:          Reducing each adaptation stage to 15%/75%/10% of
  Chain 4:          the given number of warmup iterations:
  Chain 4:            init_buffer = 7
  Chain 4:            adapt_window = 38
  Chain 4:            term_buffer = 5
  Chain 4: 
  Chain 4: Iteration:  1 / 100 [  1%]  (Warmup)
  Chain 4: Iteration: 10 / 100 [ 10%]  (Warmup)
  Chain 4: Iteration: 20 / 100 [ 20%]  (Warmup)
  Chain 4: Iteration: 30 / 100 [ 30%]  (Warmup)
  Chain 4: Iteration: 40 / 100 [ 40%]  (Warmup)
  Chain 4: Iteration: 50 / 100 [ 50%]  (Warmup)
  Chain 4: Iteration: 51 / 100 [ 51%]  (Sampling)
  Chain 4: Iteration: 60 / 100 [ 60%]  (Sampling)
  Chain 4: Iteration: 70 / 100 [ 70%]  (Sampling)
  Chain 4: Iteration: 80 / 100 [ 80%]  (Sampling)
  Chain 4: Iteration: 90 / 100 [ 90%]  (Sampling)
  Chain 4: Iteration: 100 / 100 [100%]  (Sampling)
  Chain 4: 
  Chain 4:  Elapsed Time: 0.014005 seconds (Warm-up)
  Chain 4:                0.01697 seconds (Sampling)
  Chain 4:                0.030975 seconds (Total)
  Chain 4: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1).
  Chain 1: 
  Chain 1: Gradient evaluation took 7.4e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.74 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  Chain 1: 
  Chain 1: 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: 0.219793 seconds (Warm-up)
  Chain 1:                0.303722 seconds (Sampling)
  Chain 1:                0.523515 seconds (Total)
  Chain 1: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2).
  Chain 2: 
  Chain 2: Gradient evaluation took 5.5e-05 seconds
  Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.55 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: 0.205625 seconds (Warm-up)
  Chain 2:                0.36985 seconds (Sampling)
  Chain 2:                0.575475 seconds (Total)
  Chain 2: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 3).
  Chain 3: 
  Chain 3: Gradient evaluation took 4.2e-05 seconds
  Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.42 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: 0.287148 seconds (Warm-up)
  Chain 3:                0.432669 seconds (Sampling)
  Chain 3:                0.719817 seconds (Total)
  Chain 3: 
  
  SAMPLING FOR MODEL 'continuous' NOW (CHAIN 4).
  Chain 4: 
  Chain 4: Gradient evaluation took 4.9e-05 seconds
  Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.49 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: 0.228463 seconds (Warm-up)
  Chain 4:                0.331252 seconds (Sampling)
  Chain 4:                0.559715 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: 0.209684 seconds (Warm-up)
  Chain 1:                0.190486 seconds (Sampling)
  Chain 1:                0.40017 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: 0.209849 seconds (Warm-up)
  Chain 2:                0.2002 seconds (Sampling)
  Chain 2:                0.410049 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: 0.20845 seconds (Warm-up)
  Chain 3:                0.199935 seconds (Sampling)
  Chain 3:                0.408385 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: 0.178796 seconds (Warm-up)
  Chain 4:                0.173729 seconds (Sampling)
  Chain 4:                0.352525 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 7.5e-05 seconds
  Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.75 seconds.
  Chain 1: Adjust your expectations accordingly!
  Chain 1: 
  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