R Under development (unstable) (2025-05-03 r88188 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(MIRES) > > test_check("MIRES") [1] "no object returned" [1] "no object returned" 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 0.013102 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 131.02 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 -1000.078 1.000 1.000 Chain 1: 200 -248.050 2.016 3.032 Chain 1: 300 -200.440 1.423 1.000 Chain 1: 400 -110.738 1.270 1.000 Chain 1: 500 -87.151 1.070 0.810 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 0.009202 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 92.02 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 -210.341 1.000 1.000 Chain 1: 200 -171.267 0.614 1.000 MEAN ELBO CONVERGED Chain 1: Chain 1: Drawing a sample of size 1000 from the approximate posterior... Chain 1: COMPLETED. SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000495 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 4.95 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 10 [ 10%] (Warmup) Chain 1: Iteration: 2 / 10 [ 20%] (Warmup) Chain 1: Iteration: 3 / 10 [ 30%] (Warmup) Chain 1: Iteration: 4 / 10 [ 40%] (Warmup) Chain 1: Iteration: 5 / 10 [ 50%] (Warmup) Chain 1: Iteration: 6 / 10 [ 60%] (Sampling) Chain 1: Iteration: 7 / 10 [ 70%] (Sampling) Chain 1: Iteration: 8 / 10 [ 80%] (Sampling) Chain 1: Iteration: 9 / 10 [ 90%] (Sampling) Chain 1: Iteration: 10 / 10 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.073 seconds (Warm-up) Chain 1: 0.01 seconds (Sampling) Chain 1: 0.083 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000349 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.49 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 10 [ 10%] (Warmup) Chain 1: Iteration: 2 / 10 [ 20%] (Warmup) Chain 1: Iteration: 3 / 10 [ 30%] (Warmup) Chain 1: Iteration: 4 / 10 [ 40%] (Warmup) Chain 1: Iteration: 5 / 10 [ 50%] (Warmup) Chain 1: Iteration: 6 / 10 [ 60%] (Sampling) Chain 1: Iteration: 7 / 10 [ 70%] (Sampling) Chain 1: Iteration: 8 / 10 [ 80%] (Sampling) Chain 1: Iteration: 9 / 10 [ 90%] (Sampling) Chain 1: Iteration: 10 / 10 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.066 seconds (Warm-up) Chain 1: 0.007 seconds (Sampling) Chain 1: 0.073 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000366 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.66 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 10 [ 10%] (Warmup) Chain 1: Iteration: 2 / 10 [ 20%] (Warmup) Chain 1: Iteration: 3 / 10 [ 30%] (Warmup) Chain 1: Iteration: 4 / 10 [ 40%] (Warmup) Chain 1: Iteration: 5 / 10 [ 50%] (Warmup) Chain 1: Iteration: 6 / 10 [ 60%] (Sampling) Chain 1: Iteration: 7 / 10 [ 70%] (Sampling) Chain 1: Iteration: 8 / 10 [ 80%] (Sampling) Chain 1: Iteration: 9 / 10 [ 90%] (Sampling) Chain 1: Iteration: 10 / 10 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.224 seconds (Warm-up) Chain 1: 0.175 seconds (Sampling) Chain 1: 0.399 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000363 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.63 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 10 [ 10%] (Warmup) Chain 1: Iteration: 2 / 10 [ 20%] (Warmup) Chain 1: Iteration: 3 / 10 [ 30%] (Warmup) Chain 1: Iteration: 4 / 10 [ 40%] (Warmup) Chain 1: Iteration: 5 / 10 [ 50%] (Warmup) Chain 1: Iteration: 6 / 10 [ 60%] (Sampling) Chain 1: Iteration: 7 / 10 [ 70%] (Sampling) Chain 1: Iteration: 8 / 10 [ 80%] (Sampling) Chain 1: Iteration: 9 / 10 [ 90%] (Sampling) Chain 1: Iteration: 10 / 10 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.103 seconds (Warm-up) Chain 1: 0.101 seconds (Sampling) Chain 1: 0.204 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000332 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.32 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 10 [ 10%] (Warmup) Chain 1: Iteration: 2 / 10 [ 20%] (Warmup) Chain 1: Iteration: 3 / 10 [ 30%] (Warmup) Chain 1: Iteration: 4 / 10 [ 40%] (Warmup) Chain 1: Iteration: 5 / 10 [ 50%] (Warmup) Chain 1: Iteration: 6 / 10 [ 60%] (Sampling) Chain 1: Iteration: 7 / 10 [ 70%] (Sampling) Chain 1: Iteration: 8 / 10 [ 80%] (Sampling) Chain 1: Iteration: 9 / 10 [ 90%] (Sampling) Chain 1: Iteration: 10 / 10 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.175 seconds (Warm-up) Chain 1: 0.25 seconds (Sampling) Chain 1: 0.425 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000295 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.95 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 10 [ 10%] (Warmup) Chain 1: Iteration: 2 / 10 [ 20%] (Warmup) Chain 1: Iteration: 3 / 10 [ 30%] (Warmup) Chain 1: Iteration: 4 / 10 [ 40%] (Warmup) Chain 1: Iteration: 5 / 10 [ 50%] (Warmup) Chain 1: Iteration: 6 / 10 [ 60%] (Sampling) Chain 1: Iteration: 7 / 10 [ 70%] (Sampling) Chain 1: Iteration: 8 / 10 [ 80%] (Sampling) Chain 1: Iteration: 9 / 10 [ 90%] (Sampling) Chain 1: Iteration: 10 / 10 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.064 seconds (Warm-up) Chain 1: 0.16 seconds (Sampling) Chain 1: 0.224 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000304 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.04 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 10 [ 10%] (Warmup) Chain 1: Iteration: 2 / 10 [ 20%] (Warmup) Chain 1: Iteration: 3 / 10 [ 30%] (Warmup) Chain 1: Iteration: 4 / 10 [ 40%] (Warmup) Chain 1: Iteration: 5 / 10 [ 50%] (Warmup) Chain 1: Iteration: 6 / 10 [ 60%] (Sampling) Chain 1: Iteration: 7 / 10 [ 70%] (Sampling) Chain 1: Iteration: 8 / 10 [ 80%] (Sampling) Chain 1: Iteration: 9 / 10 [ 90%] (Sampling) Chain 1: Iteration: 10 / 10 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.106 seconds (Warm-up) Chain 1: 0.189 seconds (Sampling) Chain 1: 0.295 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000307 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 3.07 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: No variance estimation is Chain 1: performed for num_warmup < 20 Chain 1: Chain 1: Iteration: 1 / 10 [ 10%] (Warmup) Chain 1: Iteration: 2 / 10 [ 20%] (Warmup) Chain 1: Iteration: 3 / 10 [ 30%] (Warmup) Chain 1: Iteration: 4 / 10 [ 40%] (Warmup) Chain 1: Iteration: 5 / 10 [ 50%] (Warmup) Chain 1: Iteration: 6 / 10 [ 60%] (Sampling) Chain 1: Iteration: 7 / 10 [ 70%] (Sampling) Chain 1: Iteration: 8 / 10 [ 80%] (Sampling) Chain 1: Iteration: 9 / 10 [ 90%] (Sampling) Chain 1: Iteration: 10 / 10 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.166 seconds (Warm-up) Chain 1: 0.179 seconds (Sampling) Chain 1: 0.345 seconds (Total) Chain 1: SAMPLING FOR MODEL 'redifhm_all' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000299 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.99 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: 5.668 seconds (Warm-up) Chain 1: 4.974 seconds (Sampling) Chain 1: 10.642 seconds (Total) Chain 1: [ FAIL 0 | WARN 0 | SKIP 0 | PASS 95 ] > > proc.time() user system elapsed 56.85 0.67 57.54