Returns the accumulated log-posterior, the average Metropolis acceptance rate, divergent transitions, treedepth rather than terminated its evolution normally.
Arguments
- posterior
A
stanreg,stanfit,brmsfit, orblavaanobject; a list of data frames or matrices representing MCMC chains (rows as samples, columns as parameters); or a 3D array (dimensions: samples, chains, parameters)- ...
Currently only used for models of class
brmsfit, where avariableargument can be used, which is directly passed to theas.data.frame()method (i.e.,as.data.frame(x, variable = variable)).
Examples
# \donttest{
set.seed(333)
if (require("brms", quietly = TRUE)) {
model <- suppressWarnings(brm(mpg ~ wt * cyl * vs,
data = mtcars,
iter = 100, control = list(adapt_delta = 0.80),
refresh = 0
))
diagnostic_draws(model)
}
#> Compiling Stan program...
#> Start sampling
#> Chain Iteration Acceptance_Rate Step_Size Tree_Depth n_Leapfrog Divergent
#> 1 1 1 0.8556188 0.04377659 9 767 0
#> 2 1 2 0.8863772 0.04377659 6 127 0
#> 3 1 3 0.9437840 0.04377659 9 727 0
#> 4 1 4 0.9954334 0.04377659 5 47 0
#> 5 1 5 0.9872170 0.04377659 10 1023 0
#> 6 1 6 0.7822658 0.04377659 10 1023 0
#> 7 1 7 0.9134842 0.04377659 8 383 0
#> 8 1 8 0.7571162 0.04377659 3 7 0
#> 9 1 9 0.9949941 0.04377659 7 127 0
#> 10 1 10 0.9745601 0.04377659 9 703 0
#> 11 1 11 0.9902224 0.04377659 6 127 0
#> 12 1 12 0.9895104 0.04377659 6 63 0
#> 13 1 13 0.9503760 0.04377659 7 127 0
#> 14 1 14 0.9973059 0.04377659 10 1023 0
#> 15 1 15 0.9998132 0.04377659 6 63 0
#> 16 1 16 0.9811988 0.04377659 7 127 0
#> 17 1 17 0.4005900 0.04377659 9 767 0
#> 18 1 18 0.9733779 0.04377659 9 639 0
#> 19 1 19 0.9079726 0.04377659 10 1023 0
#> 20 1 20 0.8994419 0.04377659 9 551 0
#> 21 1 21 0.9916189 0.04377659 7 127 0
#> 22 1 22 0.9764850 0.04377659 7 191 0
#> 23 1 23 0.9599878 0.04377659 7 191 0
#> 24 1 24 0.9783544 0.04377659 9 639 0
#> 25 1 25 0.9746062 0.04377659 10 1023 0
#> 26 1 26 0.9629094 0.04377659 7 191 0
#> 27 1 27 0.8537230 0.04377659 10 1023 0
#> 28 1 28 0.9160815 0.04377659 5 63 0
#> 29 1 29 0.4864454 0.04377659 9 767 0
#> 30 1 30 0.9750612 0.04377659 5 31 0
#> 31 1 31 0.9297158 0.04377659 6 127 0
#> 32 1 32 0.9773065 0.04377659 6 127 0
#> 33 1 33 0.9529111 0.04377659 8 311 0
#> 34 1 34 0.9786956 0.04377659 5 39 0
#> 35 1 35 0.9995572 0.04377659 10 1023 0
#> 36 1 36 0.8495023 0.04377659 6 63 0
#> 37 1 37 0.9028496 0.04377659 6 127 0
#> 38 1 38 0.8068045 0.04377659 8 383 0
#> 39 1 39 0.9987790 0.04377659 9 875 0
#> 40 1 40 0.7108943 0.04377659 10 1023 0
#> 41 1 41 0.9302067 0.04377659 9 631 0
#> 42 1 42 0.7997122 0.04377659 6 127 0
#> 43 1 43 0.3711334 0.04377659 6 63 0
#> 44 1 44 0.9544551 0.04377659 7 255 0
#> 45 1 45 0.2716243 0.04377659 7 135 0
#> 46 1 46 0.8267437 0.04377659 9 639 0
#> 47 1 47 0.4587052 0.04377659 10 1023 0
#> 48 1 48 0.8434241 0.04377659 9 639 0
#> 49 1 49 0.8686846 0.04377659 10 1023 0
#> 50 1 50 0.9728343 0.04377659 10 1023 0
#> 51 2 1 0.8921613 0.03456154 5 47 0
#> 52 2 2 0.9219432 0.03456154 3 15 0
#> 53 2 3 0.9742232 0.03456154 7 127 0
#> 54 2 4 0.9888895 0.03456154 7 255 0
#> 55 2 5 0.9736492 0.03456154 6 127 0
#> 56 2 6 0.9762872 0.03456154 10 1023 0
#> 57 2 7 0.9938979 0.03456154 8 319 0
#> 58 2 8 0.9814186 0.03456154 5 63 0
#> 59 2 9 0.3918696 0.03456154 7 215 0
#> 60 2 10 0.9508874 0.03456154 5 43 0
#> 61 2 11 0.9925632 0.03456154 10 1023 0
#> 62 2 12 0.9725322 0.03456154 8 447 0
#> 63 2 13 0.9912100 0.03456154 7 255 0
#> 64 2 14 0.9916293 0.03456154 10 1023 0
#> 65 2 15 0.9960304 0.03456154 7 127 0
#> 66 2 16 0.9808909 0.03456154 10 1023 0
#> 67 2 17 0.9971963 0.03456154 6 63 0
#> 68 2 18 0.8602695 0.03456154 6 63 0
#> 69 2 19 0.8437689 0.03456154 6 127 0
#> 70 2 20 0.9415516 0.03456154 8 511 0
#> 71 2 21 0.9852149 0.03456154 6 127 0
#> 72 2 22 0.9848160 0.03456154 6 127 0
#> 73 2 23 0.9951255 0.03456154 7 255 0
#> 74 2 24 0.9315598 0.03456154 8 255 0
#> 75 2 25 0.9468759 0.03456154 9 735 0
#> 76 2 26 0.9929797 0.03456154 10 1023 0
#> 77 2 27 0.9965131 0.03456154 7 175 0
#> 78 2 28 0.9520104 0.03456154 10 1023 0
#> 79 2 29 0.8708898 0.03456154 7 191 0
#> 80 2 30 0.9831526 0.03456154 5 31 0
#> 81 2 31 0.9913461 0.03456154 10 1023 0
#> 82 2 32 0.9401429 0.03456154 7 127 0
#> 83 2 33 0.9935625 0.03456154 10 1023 0
#> 84 2 34 0.9496523 0.03456154 10 1023 0
#> 85 2 35 0.9962200 0.03456154 10 1023 0
#> 86 2 36 0.9835909 0.03456154 6 127 0
#> 87 2 37 0.9995396 0.03456154 10 1023 0
#> 88 2 38 0.8607033 0.03456154 8 319 0
#> 89 2 39 0.9902233 0.03456154 8 255 0
#> 90 2 40 0.7711692 0.03456154 9 703 0
#> 91 2 41 0.9996250 0.03456154 6 127 0
#> 92 2 42 0.9279013 0.03456154 9 895 0
#> 93 2 43 0.8397487 0.03456154 4 19 0
#> 94 2 44 0.8551882 0.03456154 7 255 0
#> 95 2 45 0.9072355 0.03456154 8 255 0
#> 96 2 46 0.9373735 0.03456154 9 639 0
#> 97 2 47 0.9759009 0.03456154 8 383 0
#> 98 2 48 0.9848852 0.03456154 5 63 0
#> 99 2 49 0.9918173 0.03456154 8 383 0
#> 100 2 50 0.9306126 0.03456154 10 1023 0
#> 101 3 1 0.9813139 0.03718216 8 255 0
#> 102 3 2 0.9219825 0.03718216 10 1023 0
#> 103 3 3 0.8224398 0.03718216 3 15 0
#> 104 3 4 0.9171253 0.03718216 7 127 0
#> 105 3 5 0.6626150 0.03718216 6 63 0
#> 106 3 6 0.8477648 0.03718216 10 1023 0
#> 107 3 7 0.9588888 0.03718216 6 95 0
#> 108 3 8 0.9932807 0.03718216 10 1023 0
#> 109 3 9 0.9950005 0.03718216 10 1023 0
#> 110 3 10 0.6462401 0.03718216 10 1023 0
#> 111 3 11 0.9756940 0.03718216 10 1023 0
#> 112 3 12 0.9823896 0.03718216 7 191 0
#> 113 3 13 0.9729711 0.03718216 9 767 0
#> 114 3 14 0.9987908 0.03718216 10 1023 0
#> 115 3 15 0.8133495 0.03718216 10 1023 0
#> 116 3 16 0.8694313 0.03718216 10 1023 0
#> 117 3 17 0.9891128 0.03718216 10 1023 0
#> 118 3 18 0.9666858 0.03718216 10 1023 0
#> 119 3 19 0.9809875 0.03718216 10 1023 0
#> 120 3 20 0.9018766 0.03718216 7 127 0
#> 121 3 21 0.9369867 0.03718216 7 127 0
#> 122 3 22 0.9399707 0.03718216 9 959 0
#> 123 3 23 0.9693986 0.03718216 10 1023 0
#> 124 3 24 0.9856736 0.03718216 10 1023 0
#> 125 3 25 0.9182051 0.03718216 10 1023 0
#> 126 3 26 0.9617675 0.03718216 9 767 0
#> 127 3 27 0.9574588 0.03718216 10 1023 0
#> 128 3 28 0.8770427 0.03718216 7 191 0
#> 129 3 29 0.9109698 0.03718216 6 103 0
#> 130 3 30 0.9526662 0.03718216 5 39 0
#> 131 3 31 0.9276870 0.03718216 8 431 0
#> 132 3 32 0.5903200 0.03718216 8 511 0
#> 133 3 33 0.9768977 0.03718216 5 47 0
#> 134 3 34 0.7586726 0.03718216 6 127 0
#> 135 3 35 0.7480967 0.03718216 8 383 0
#> 136 3 36 0.9418824 0.03718216 9 831 0
#> 137 3 37 0.7877588 0.03718216 8 383 0
#> 138 3 38 0.9867855 0.03718216 9 703 0
#> 139 3 39 0.9766093 0.03718216 10 1023 0
#> 140 3 40 0.9971270 0.03718216 7 191 0
#> 141 3 41 0.6272957 0.03718216 9 703 0
#> 142 3 42 0.9898977 0.03718216 6 63 0
#> 143 3 43 0.9951629 0.03718216 5 63 0
#> 144 3 44 0.8574412 0.03718216 7 127 0
#> 145 3 45 0.9944585 0.03718216 9 767 0
#> 146 3 46 0.9430059 0.03718216 7 255 0
#> 147 3 47 0.9633868 0.03718216 7 255 0
#> 148 3 48 0.9306843 0.03718216 10 1023 0
#> 149 3 49 0.9342742 0.03718216 10 1023 0
#> 150 3 50 0.8589480 0.03718216 8 319 0
#> 151 4 1 0.9918087 0.03798515 10 1023 0
#> 152 4 2 0.9536024 0.03798515 6 127 0
#> 153 4 3 0.8502734 0.03798515 8 511 0
#> 154 4 4 0.9699513 0.03798515 9 639 0
#> 155 4 5 0.8988498 0.03798515 10 1023 0
#> 156 4 6 0.9193360 0.03798515 9 703 0
#> 157 4 7 0.9813488 0.03798515 7 255 0
#> 158 4 8 0.9899837 0.03798515 10 1023 0
#> 159 4 9 0.9783168 0.03798515 10 1023 0
#> 160 4 10 0.5403014 0.03798515 10 1023 0
#> 161 4 11 0.9974137 0.03798515 8 383 0
#> 162 4 12 0.9774442 0.03798515 9 639 0
#> 163 4 13 0.9968207 0.03798515 7 127 0
#> 164 4 14 0.7934977 0.03798515 9 703 0
#> 165 4 15 0.9925983 0.03798515 10 1023 0
#> 166 4 16 0.9272454 0.03798515 3 7 0
#> 167 4 17 0.9616546 0.03798515 7 175 0
#> 168 4 18 0.9893650 0.03798515 9 615 0
#> 169 4 19 0.8159071 0.03798515 10 1023 0
#> 170 4 20 0.9948494 0.03798515 6 95 0
#> 171 4 21 0.9776522 0.03798515 7 183 0
#> 172 4 22 0.8706138 0.03798515 8 487 0
#> 173 4 23 0.9281438 0.03798515 10 1023 0
#> 174 4 24 0.9132487 0.03798515 2 7 0
#> 175 4 25 0.9926225 0.03798515 9 607 0
#> 176 4 26 0.9083426 0.03798515 7 255 0
#> 177 4 27 0.9193993 0.03798515 8 447 0
#> 178 4 28 0.9481612 0.03798515 10 1023 0
#> 179 4 29 0.9747667 0.03798515 5 63 0
#> 180 4 30 0.6153339 0.03798515 6 63 0
#> 181 4 31 0.8727077 0.03798515 10 1023 0
#> 182 4 32 0.9882500 0.03798515 6 127 0
#> 183 4 33 0.9760954 0.03798515 6 63 0
#> 184 4 34 0.9298015 0.03798515 8 511 0
#> 185 4 35 0.9618891 0.03798515 10 1023 0
#> 186 4 36 0.9612666 0.03798515 9 1023 0
#> 187 4 37 0.9779122 0.03798515 10 1023 0
#> 188 4 38 0.9869550 0.03798515 8 511 0
#> 189 4 39 0.9567280 0.03798515 7 191 0
#> 190 4 40 0.9873098 0.03798515 10 1023 0
#> 191 4 41 0.8262242 0.03798515 5 63 0
#> 192 4 42 0.9976359 0.03798515 5 63 0
#> 193 4 43 0.9300915 0.03798515 10 1023 0
#> 194 4 44 0.9884362 0.03798515 10 1023 0
#> 195 4 45 0.9999234 0.03798515 6 127 0
#> 196 4 46 0.9979605 0.03798515 10 1023 0
#> 197 4 47 0.6276211 0.03798515 4 31 0
#> 198 4 48 0.8923710 0.03798515 5 39 0
#> 199 4 49 0.9657344 0.03798515 6 127 0
#> 200 4 50 0.9007015 0.03798515 6 63 0
#> Energy LogPosterior
#> 1 87.52413 -80.62247
#> 2 84.76076 -81.03461
#> 3 85.26384 -77.20509
#> 4 80.13911 -78.42456
#> 5 82.95483 -79.74064
#> 6 85.71411 -79.38218
#> 7 85.64609 -80.51056
#> 8 87.55869 -84.02330
#> 9 85.57164 -81.11118
#> 10 87.65153 -81.23878
#> 11 84.86090 -82.86192
#> 12 85.89508 -80.29574
#> 13 90.25678 -86.02685
#> 14 93.59746 -82.53437
#> 15 83.31933 -77.10845
#> 16 80.76158 -79.42410
#> 17 84.30950 -76.74205
#> 18 82.60017 -80.16409
#> 19 84.36473 -78.62248
#> 20 91.90965 -85.30470
#> 21 87.37853 -79.32991
#> 22 81.73677 -77.86645
#> 23 79.16997 -77.62293
#> 24 80.90944 -77.43663
#> 25 82.74857 -76.99850
#> 26 83.12456 -78.30924
#> 27 84.60809 -82.77494
#> 28 88.54362 -84.72106
#> 29 92.49346 -82.77251
#> 30 86.01045 -81.46080
#> 31 85.71199 -81.22564
#> 32 84.74661 -77.12582
#> 33 81.62228 -79.14404
#> 34 81.93992 -77.13189
#> 35 81.12043 -77.09347
#> 36 82.56860 -79.91839
#> 37 84.62521 -80.97679
#> 38 87.83113 -82.19738
#> 39 88.01796 -79.95343
#> 40 86.37406 -77.96132
#> 41 79.56453 -76.22095
#> 42 86.20043 -82.45908
#> 43 86.53043 -76.26693
#> 44 78.47272 -77.41972
#> 45 85.90307 -81.39543
#> 46 82.00203 -75.39703
#> 47 80.26857 -76.96743
#> 48 81.76161 -79.83357
#> 49 83.94532 -79.25629
#> 50 83.86345 -77.41777
#> 51 83.29452 -79.99299
#> 52 85.33069 -77.56167
#> 53 83.54643 -79.63827
#> 54 82.78555 -77.71481
#> 55 81.18367 -78.48267
#> 56 80.48696 -77.30417
#> 57 80.86398 -76.85813
#> 58 79.17913 -76.60656
#> 59 87.29444 -82.27418
#> 60 85.04654 -75.54458
#> 61 78.22654 -76.38820
#> 62 80.97856 -76.66019
#> 63 79.44136 -76.53034
#> 64 82.27628 -76.93567
#> 65 79.91668 -77.32458
#> 66 80.41457 -78.69954
#> 67 79.54537 -77.60423
#> 68 83.34219 -81.32536
#> 69 86.58405 -79.29091
#> 70 87.18001 -82.10716
#> 71 87.11213 -82.01000
#> 72 87.86474 -81.83773
#> 73 84.67392 -77.07936
#> 74 80.08795 -76.94561
#> 75 80.72337 -77.81229
#> 76 81.83360 -79.11429
#> 77 82.36842 -80.86740
#> 78 85.57262 -80.23254
#> 79 84.72810 -79.54836
#> 80 83.68403 -82.05551
#> 81 84.86338 -77.58817
#> 82 81.74325 -76.34537
#> 83 80.20250 -78.38795
#> 84 81.56010 -78.87239
#> 85 83.43093 -79.97517
#> 86 81.36169 -78.92391
#> 87 84.43635 -82.37365
#> 88 89.27760 -80.68075
#> 89 85.01329 -80.44348
#> 90 86.82554 -80.09300
#> 91 84.56737 -78.96331
#> 92 86.55069 -80.32403
#> 93 83.02542 -80.22579
#> 94 85.59670 -81.23043
#> 95 84.75054 -78.59890
#> 96 82.32601 -79.34201
#> 97 81.49910 -78.96897
#> 98 84.72755 -79.25053
#> 99 83.09035 -79.32538
#> 100 83.95369 -79.14013
#> 101 79.94482 -76.91013
#> 102 86.30378 -83.70174
#> 103 87.02920 -82.80175
#> 104 85.45498 -80.41876
#> 105 84.16409 -80.89497
#> 106 87.31195 -81.15601
#> 107 87.17627 -81.38267
#> 108 84.12278 -77.06766
#> 109 80.63556 -74.77270
#> 110 80.58963 -76.44857
#> 111 77.02251 -74.31950
#> 112 77.30762 -75.59264
#> 113 79.14764 -77.06357
#> 114 80.05298 -77.51717
#> 115 84.35510 -80.19840
#> 116 85.42508 -79.83930
#> 117 85.02195 -80.41961
#> 118 85.18445 -80.55357
#> 119 91.64917 -83.67471
#> 120 86.91084 -80.28929
#> 121 83.62283 -78.52162
#> 122 84.93340 -77.76768
#> 123 79.72571 -77.97375
#> 124 79.56704 -76.45542
#> 125 80.73490 -76.88406
#> 126 82.56150 -76.53013
#> 127 86.91686 -79.45439
#> 128 84.85907 -81.55913
#> 129 84.79453 -79.75222
#> 130 84.01387 -80.72085
#> 131 85.75252 -78.57624
#> 132 83.49487 -77.84443
#> 133 80.50407 -78.02746
#> 134 83.07370 -76.94459
#> 135 86.60138 -76.68992
#> 136 81.37642 -78.39882
#> 137 86.11760 -82.31440
#> 138 84.84319 -80.11833
#> 139 86.66921 -79.05418
#> 140 79.73391 -76.35402
#> 141 85.90258 -82.55847
#> 142 83.72055 -80.00686
#> 143 82.85630 -77.46918
#> 144 81.47690 -78.36668
#> 145 82.45228 -76.66364
#> 146 79.85921 -77.85915
#> 147 82.21290 -78.95040
#> 148 85.37712 -81.65336
#> 149 88.06113 -77.94657
#> 150 83.92738 -81.30801
#> 151 82.92405 -77.64405
#> 152 80.25890 -75.87626
#> 153 81.67217 -77.41225
#> 154 80.16146 -76.55156
#> 155 81.30524 -76.25238
#> 156 80.88054 -76.05406
#> 157 79.80480 -76.68875
#> 158 84.78382 -76.89872
#> 159 82.75985 -76.65299
#> 160 83.76494 -80.51522
#> 161 85.71562 -81.74523
#> 162 85.26211 -82.30636
#> 163 83.06072 -77.83007
#> 164 84.34790 -79.13499
#> 165 85.23931 -79.29360
#> 166 81.90954 -79.66585
#> 167 83.72005 -80.40121
#> 168 82.52288 -76.82327
#> 169 80.88728 -77.26451
#> 170 79.98006 -76.10898
#> 171 77.97064 -76.63815
#> 172 79.85256 -76.13960
#> 173 78.94062 -76.50721
#> 174 80.54924 -77.07964
#> 175 84.20373 -77.09948
#> 176 81.23960 -78.10849
#> 177 81.85933 -77.53977
#> 178 82.01962 -78.20525
#> 179 82.10601 -77.01208
#> 180 84.87481 -80.79882
#> 181 84.54799 -81.09309
#> 182 84.75439 -80.16937
#> 183 82.12229 -77.71350
#> 184 82.02810 -76.97519
#> 185 80.62192 -76.55376
#> 186 81.67888 -79.03811
#> 187 82.78376 -75.32622
#> 188 81.44938 -76.32104
#> 189 80.10466 -75.68432
#> 190 79.81601 -75.28623
#> 191 84.71298 -83.13313
#> 192 84.30494 -78.13126
#> 193 80.53642 -77.95251
#> 194 82.66110 -78.38566
#> 195 80.55721 -76.56322
#> 196 79.69458 -76.12295
#> 197 82.50006 -75.41306
#> 198 83.93730 -77.16595
#> 199 80.96371 -75.70645
#> 200 80.30134 -76.33427
# }