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.- ...
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 0.8635300 0.03468417 6 63 0
#> 2 1 2 0.9136471 0.03468417 7 255 0
#> 3 1 3 0.9863575 0.03468417 10 1023 0
#> 4 1 4 0.9662903 0.03468417 6 127 0
#> 5 1 5 0.9900292 0.03468417 6 63 0
#> 6 1 6 0.9289357 0.03468417 9 639 0
#> 7 1 7 0.9969973 0.03468417 6 63 0
#> 8 1 8 0.9937014 0.03468417 10 1023 0
#> 9 1 9 0.9797568 0.03468417 8 383 0
#> 10 1 10 0.9855480 0.03468417 9 639 0
#> 11 1 11 0.8617986 0.03468417 8 447 0
#> 12 1 12 0.9949926 0.03468417 9 639 0
#> 13 1 13 0.9937324 0.03468417 10 1023 0
#> 14 1 14 0.9770628 0.03468417 7 191 0
#> 15 1 15 0.9194509 0.03468417 10 1023 0
#> 16 1 16 0.9568499 0.03468417 6 127 0
#> 17 1 17 0.9861167 0.03468417 6 63 0
#> 18 1 18 0.9507910 0.03468417 9 895 0
#> 19 1 19 0.9887289 0.03468417 10 1023 0
#> 20 1 20 0.9993835 0.03468417 5 31 0
#> 21 1 21 0.9843024 0.03468417 10 1023 0
#> 22 1 22 0.9797890 0.03468417 8 383 0
#> 23 1 23 0.9944690 0.03468417 8 511 0
#> 24 1 24 0.9767860 0.03468417 8 383 0
#> 25 1 25 0.9383421 0.03468417 9 959 0
#> 26 1 26 0.9570864 0.03468417 9 655 0
#> 27 1 27 0.9778837 0.03468417 10 1023 0
#> 28 1 28 0.9799058 0.03468417 7 255 0
#> 29 1 29 0.9462549 0.03468417 6 63 0
#> 30 1 30 0.8323784 0.03468417 7 127 0
#> 31 1 31 0.9895450 0.03468417 10 1023 0
#> 32 1 32 0.9926231 0.03468417 8 335 0
#> 33 1 33 0.9927103 0.03468417 5 31 0
#> 34 1 34 0.9987344 0.03468417 6 63 0
#> 35 1 35 0.9830424 0.03468417 6 63 0
#> 36 1 36 0.9682450 0.03468417 7 127 0
#> 37 1 37 0.9933061 0.03468417 10 1023 0
#> 38 1 38 0.9403289 0.03468417 10 1023 0
#> 39 1 39 0.9995874 0.03468417 10 1023 0
#> 40 1 40 0.8767612 0.03468417 9 1023 0
#> 41 1 41 0.9725447 0.03468417 10 1023 0
#> 42 1 42 0.9861283 0.03468417 8 383 0
#> 43 1 43 0.8548139 0.03468417 10 1023 0
#> 44 1 44 0.8389647 0.03468417 10 1023 0
#> 45 1 45 0.9554398 0.03468417 5 63 0
#> 46 1 46 0.9761778 0.03468417 10 1023 0
#> 47 1 47 0.9701103 0.03468417 7 127 0
#> 48 1 48 0.9922098 0.03468417 7 191 0
#> 49 1 49 0.9621097 0.03468417 8 511 0
#> 50 1 50 0.9994729 0.03468417 9 639 0
#> 51 2 1 0.9977753 0.03332572 10 1023 0
#> 52 2 2 0.8687279 0.03332572 7 191 0
#> 53 2 3 0.9933227 0.03332572 9 767 0
#> 54 2 4 0.9684332 0.03332572 6 63 0
#> 55 2 5 0.7551614 0.03332572 10 1023 0
#> 56 2 6 0.9266202 0.03332572 7 127 0
#> 57 2 7 0.9960281 0.03332572 10 1023 0
#> 58 2 8 0.9963768 0.03332572 6 63 0
#> 59 2 9 0.9775107 0.03332572 8 447 0
#> 60 2 10 0.7663591 0.03332572 5 63 0
#> 61 2 11 0.9954953 0.03332572 6 63 0
#> 62 2 12 0.9986424 0.03332572 6 127 0
#> 63 2 13 0.9925190 0.03332572 10 1023 0
#> 64 2 14 0.9999734 0.03332572 10 1023 0
#> 65 2 15 0.8988157 0.03332572 3 7 0
#> 66 2 16 0.9068830 0.03332572 10 1023 0
#> 67 2 17 0.9299921 0.03332572 10 1023 0
#> 68 2 18 0.9866188 0.03332572 10 1023 0
#> 69 2 19 0.9163855 0.03332572 10 1023 0
#> 70 2 20 0.9925532 0.03332572 7 255 0
#> 71 2 21 0.9876059 0.03332572 7 191 0
#> 72 2 22 0.9880354 0.03332572 9 1023 0
#> 73 2 23 0.8505949 0.03332572 10 1023 0
#> 74 2 24 0.9905202 0.03332572 6 63 0
#> 75 2 25 0.7128606 0.03332572 6 127 0
#> 76 2 26 0.9990718 0.03332572 10 1023 0
#> 77 2 27 0.9784712 0.03332572 7 127 0
#> 78 2 28 0.9965097 0.03332572 8 383 0
#> 79 2 29 0.9942409 0.03332572 6 63 0
#> 80 2 30 0.8183472 0.03332572 9 655 0
#> 81 2 31 0.9680243 0.03332572 7 255 0
#> 82 2 32 0.9890766 0.03332572 5 31 0
#> 83 2 33 0.8715178 0.03332572 10 1023 0
#> 84 2 34 0.9362153 0.03332572 10 1023 0
#> 85 2 35 0.9997559 0.03332572 8 511 0
#> 86 2 36 0.8987255 0.03332572 3 15 0
#> 87 2 37 0.9880821 0.03332572 9 831 0
#> 88 2 38 0.9293936 0.03332572 10 1023 0
#> 89 2 39 0.9527558 0.03332572 10 1023 0
#> 90 2 40 0.8142194 0.03332572 10 1023 0
#> 91 2 41 0.9874643 0.03332572 10 1023 0
#> 92 2 42 0.9770989 0.03332572 9 1023 0
#> 93 2 43 0.8866260 0.03332572 9 895 0
#> 94 2 44 0.8828927 0.03332572 10 1023 0
#> 95 2 45 0.9949399 0.03332572 7 255 0
#> 96 2 46 0.9146691 0.03332572 7 191 0
#> 97 2 47 0.9659167 0.03332572 10 1023 0
#> 98 2 48 0.9957213 0.03332572 10 1023 0
#> 99 2 49 0.9404257 0.03332572 7 191 0
#> 100 2 50 0.9803275 0.03332572 8 319 0
#> 101 3 1 0.8155798 0.03742549 7 191 0
#> 102 3 2 0.9565482 0.03742549 10 1023 0
#> 103 3 3 0.9060364 0.03742549 7 127 0
#> 104 3 4 0.9684992 0.03742549 9 575 0
#> 105 3 5 0.9600335 0.03742549 10 1023 0
#> 106 3 6 0.9894624 0.03742549 6 63 0
#> 107 3 7 0.8202755 0.03742549 6 127 0
#> 108 3 8 0.9680231 0.03742549 10 1023 0
#> 109 3 9 0.8682610 0.03742549 10 1023 0
#> 110 3 10 0.9976172 0.03742549 7 191 0
#> 111 3 11 0.9476391 0.03742549 10 1023 0
#> 112 3 12 0.9262045 0.03742549 8 383 0
#> 113 3 13 0.9867719 0.03742549 7 127 0
#> 114 3 14 0.9935106 0.03742549 5 31 0
#> 115 3 15 0.8351069 0.03742549 10 1023 0
#> 116 3 16 0.9793729 0.03742549 6 63 0
#> 117 3 17 0.9247268 0.03742549 10 1023 0
#> 118 3 18 0.9983438 0.03742549 10 1023 0
#> 119 3 19 0.9405665 0.03742549 6 127 0
#> 120 3 20 0.9904495 0.03742549 8 511 0
#> 121 3 21 0.9905696 0.03742549 9 639 0
#> 122 3 22 0.8409423 0.03742549 8 319 0
#> 123 3 23 0.9956203 0.03742549 7 159 0
#> 124 3 24 0.8021489 0.03742549 8 447 0
#> 125 3 25 0.9744307 0.03742549 10 1023 0
#> 126 3 26 0.9732865 0.03742549 10 1023 0
#> 127 3 27 0.9197724 0.03742549 6 127 0
#> 128 3 28 0.9771663 0.03742549 7 255 0
#> 129 3 29 0.8528693 0.03742549 10 1023 0
#> 130 3 30 0.9857750 0.03742549 9 575 0
#> 131 3 31 0.9776708 0.03742549 6 127 0
#> 132 3 32 0.9103742 0.03742549 10 1023 0
#> 133 3 33 0.8127369 0.03742549 9 975 0
#> 134 3 34 0.9979473 0.03742549 10 1023 0
#> 135 3 35 0.9930098 0.03742549 10 1023 0
#> 136 3 36 0.9739349 0.03742549 10 1023 0
#> 137 3 37 0.9803240 0.03742549 10 1023 0
#> 138 3 38 0.9944887 0.03742549 10 1023 0
#> 139 3 39 0.9891067 0.03742549 10 1023 0
#> 140 3 40 0.9473967 0.03742549 9 607 0
#> 141 3 41 0.9985215 0.03742549 8 447 0
#> 142 3 42 0.9952529 0.03742549 9 671 0
#> 143 3 43 0.8960930 0.03742549 7 175 0
#> 144 3 44 0.9864406 0.03742549 9 895 0
#> 145 3 45 0.9969098 0.03742549 7 191 0
#> 146 3 46 0.7906908 0.03742549 9 911 0
#> 147 3 47 0.8782428 0.03742549 6 127 0
#> 148 3 48 0.9951144 0.03742549 6 63 0
#> 149 3 49 0.9446957 0.03742549 10 1023 0
#> 150 3 50 0.9983473 0.03742549 10 1023 0
#> 151 4 1 0.7601993 0.03204934 10 1023 0
#> 152 4 2 0.9471750 0.03204934 10 1023 0
#> 153 4 3 0.9960623 0.03204934 10 1023 0
#> 154 4 4 0.9909054 0.03204934 9 1023 0
#> 155 4 5 0.6559207 0.03204934 8 255 0
#> 156 4 6 0.9831670 0.03204934 8 407 0
#> 157 4 7 0.9634444 0.03204934 8 255 0
#> 158 4 8 0.9564323 0.03204934 10 1023 0
#> 159 4 9 0.9956201 0.03204934 7 159 0
#> 160 4 10 0.9656818 0.03204934 7 127 0
#> 161 4 11 0.9472236 0.03204934 8 511 0
#> 162 4 12 0.9997053 0.03204934 10 1023 0
#> 163 4 13 0.9977500 0.03204934 10 1023 0
#> 164 4 14 0.9206532 0.03204934 10 1023 0
#> 165 4 15 0.9921322 0.03204934 8 383 0
#> 166 4 16 0.9503797 0.03204934 10 1023 0
#> 167 4 17 0.9978729 0.03204934 10 1023 0
#> 168 4 18 0.5197365 0.03204934 10 1023 0
#> 169 4 19 0.9963902 0.03204934 10 1023 0
#> 170 4 20 0.9900801 0.03204934 6 127 0
#> 171 4 21 0.9547605 0.03204934 6 127 0
#> 172 4 22 0.9878980 0.03204934 9 831 0
#> 173 4 23 0.9957027 0.03204934 7 127 0
#> 174 4 24 0.9596356 0.03204934 9 783 0
#> 175 4 25 0.9987294 0.03204934 6 63 0
#> 176 4 26 0.9829070 0.03204934 5 63 0
#> 177 4 27 0.8891739 0.03204934 8 423 0
#> 178 4 28 0.9505994 0.03204934 10 1023 0
#> 179 4 29 0.9929616 0.03204934 6 63 0
#> 180 4 30 0.7685323 0.03204934 6 79 0
#> 181 4 31 0.9900524 0.03204934 9 911 0
#> 182 4 32 0.9579094 0.03204934 7 255 0
#> 183 4 33 0.9937229 0.03204934 8 455 0
#> 184 4 34 0.9798194 0.03204934 8 383 0
#> 185 4 35 0.9502694 0.03204934 9 703 0
#> 186 4 36 0.9891410 0.03204934 6 127 0
#> 187 4 37 0.9968589 0.03204934 6 63 0
#> 188 4 38 0.9649275 0.03204934 9 975 0
#> 189 4 39 0.9441781 0.03204934 9 895 0
#> 190 4 40 0.9700667 0.03204934 4 15 0
#> 191 4 41 0.9007986 0.03204934 10 1023 0
#> 192 4 42 0.9788679 0.03204934 8 383 0
#> 193 4 43 0.8766682 0.03204934 7 255 0
#> 194 4 44 0.9638160 0.03204934 10 1023 0
#> 195 4 45 0.9948981 0.03204934 9 767 0
#> 196 4 46 0.9952965 0.03204934 10 1023 0
#> 197 4 47 0.9811392 0.03204934 8 351 0
#> 198 4 48 0.9838751 0.03204934 4 31 0
#> 199 4 49 0.9346458 0.03204934 9 895 0
#> 200 4 50 0.8551706 0.03204934 10 1023 0
#> Energy LogPosterior
#> 1 81.68979 -78.53575
#> 2 81.30190 -79.44012
#> 3 83.73613 -77.76254
#> 4 83.83327 -78.54812
#> 5 81.58150 -77.67229
#> 6 80.76513 -77.72217
#> 7 78.86958 -76.65568
#> 8 80.47306 -76.57489
#> 9 80.00525 -77.24579
#> 10 80.38747 -77.69605
#> 11 83.50795 -78.71900
#> 12 79.99357 -76.68875
#> 13 81.08848 -78.41224
#> 14 80.44635 -78.40657
#> 15 83.25134 -76.90618
#> 16 81.55041 -79.25998
#> 17 81.93603 -79.45798
#> 18 82.52994 -79.45795
#> 19 82.56797 -78.76203
#> 20 80.91393 -79.51177
#> 21 82.62931 -79.59458
#> 22 82.52404 -77.47962
#> 23 81.75065 -79.21792
#> 24 81.54242 -77.54294
#> 25 80.28798 -76.43826
#> 26 81.23868 -77.89696
#> 27 84.82903 -79.69482
#> 28 84.27202 -79.33650
#> 29 82.01173 -78.61202
#> 30 83.52101 -80.83462
#> 31 84.19173 -80.50366
#> 32 83.22688 -80.28814
#> 33 80.95878 -78.06432
#> 34 83.41489 -79.20627
#> 35 81.76939 -76.08874
#> 36 78.81229 -77.83248
#> 37 79.71623 -77.32440
#> 38 83.44286 -78.74506
#> 39 81.74730 -77.08450
#> 40 80.00788 -76.52118
#> 41 78.52085 -75.14859
#> 42 76.14307 -74.66305
#> 43 78.17077 -76.99175
#> 44 82.32819 -75.88508
#> 45 82.69528 -78.50423
#> 46 84.08986 -80.33075
#> 47 86.27963 -81.32510
#> 48 83.57613 -78.75639
#> 49 83.37602 -80.38082
#> 50 85.22319 -81.98533
#> 51 79.04425 -75.93612
#> 52 79.59342 -76.88132
#> 53 81.98043 -76.85721
#> 54 84.09465 -81.35656
#> 55 87.52969 -82.04522
#> 56 84.40385 -80.15068
#> 57 83.29075 -79.89185
#> 58 81.02457 -77.92864
#> 59 79.48660 -75.45440
#> 60 81.65772 -76.70111
#> 61 78.79809 -75.66794
#> 62 77.92424 -75.54409
#> 63 81.11599 -77.93756
#> 64 82.91378 -77.97202
#> 65 81.60834 -78.62578
#> 66 83.37749 -78.77475
#> 67 81.49486 -77.59621
#> 68 81.84369 -78.65842
#> 69 83.21586 -77.13988
#> 70 81.77040 -78.27169
#> 71 80.24218 -75.79366
#> 72 80.95216 -75.74954
#> 73 85.45359 -80.36946
#> 74 81.86366 -77.80998
#> 75 84.36743 -78.75500
#> 76 84.03165 -81.71340
#> 77 85.38472 -81.17972
#> 78 87.72757 -78.53602
#> 79 81.70592 -79.29349
#> 80 89.51925 -83.20471
#> 81 88.66343 -83.49537
#> 82 85.51220 -82.51621
#> 83 88.48239 -82.78556
#> 84 86.23336 -80.13370
#> 85 82.87816 -79.53007
#> 86 85.66489 -80.89422
#> 87 90.04579 -80.05998
#> 88 87.75324 -82.60976
#> 89 86.50583 -78.22795
#> 90 83.36130 -78.28413
#> 91 82.86748 -78.98554
#> 92 84.29937 -78.10824
#> 93 82.14089 -79.40267
#> 94 82.73149 -80.67393
#> 95 84.70622 -81.30023
#> 96 89.91822 -85.70927
#> 97 93.83836 -81.46507
#> 98 85.20532 -81.23038
#> 99 84.54402 -79.25060
#> 100 83.81674 -77.61327
#> 101 87.84960 -80.90316
#> 102 83.56417 -78.36262
#> 103 81.36451 -79.69073
#> 104 84.53421 -81.87829
#> 105 83.92396 -79.49371
#> 106 82.05882 -77.34125
#> 107 79.43416 -76.36843
#> 108 78.99842 -76.88755
#> 109 89.20045 -82.35807
#> 110 89.71731 -85.52151
#> 111 91.03985 -83.68061
#> 112 89.72210 -85.08433
#> 113 88.48898 -83.66736
#> 114 85.29272 -79.85449
#> 115 85.05584 -80.59265
#> 116 86.14571 -81.42476
#> 117 87.89185 -80.74854
#> 118 88.68445 -83.90403
#> 119 89.87877 -82.33156
#> 120 85.60347 -80.76304
#> 121 87.87220 -82.80787
#> 122 88.01223 -81.47572
#> 123 84.11699 -79.98619
#> 124 87.77799 -83.58798
#> 125 86.39205 -78.62288
#> 126 89.77851 -85.15048
#> 127 88.10457 -82.96944
#> 128 88.49397 -78.50942
#> 129 85.00417 -76.89855
#> 130 79.76467 -76.28304
#> 131 80.15671 -76.97819
#> 132 84.73166 -79.85099
#> 133 86.48743 -81.80299
#> 134 90.36706 -87.56979
#> 135 91.32256 -77.72510
#> 136 82.83510 -78.23065
#> 137 81.86588 -77.50455
#> 138 83.28792 -77.62655
#> 139 81.73475 -75.42355
#> 140 80.24097 -77.58810
#> 141 80.02829 -77.88882
#> 142 81.95778 -76.93972
#> 143 80.35629 -76.19316
#> 144 77.97606 -76.20728
#> 145 78.93616 -77.04431
#> 146 84.85137 -78.47213
#> 147 86.10982 -80.57124
#> 148 85.22013 -81.62952
#> 149 85.16246 -76.54344
#> 150 78.63998 -75.95998
#> 151 85.09025 -78.61080
#> 152 84.10733 -81.79794
#> 153 85.92464 -83.01607
#> 154 85.51669 -81.25821
#> 155 89.79504 -83.21534
#> 156 87.48172 -80.87003
#> 157 84.27767 -76.44178
#> 158 80.14010 -76.75732
#> 159 77.44618 -75.36220
#> 160 78.00573 -76.10621
#> 161 79.32189 -77.88368
#> 162 80.32595 -77.78867
#> 163 81.65414 -79.27375
#> 164 86.60368 -78.97770
#> 165 83.43989 -78.77708
#> 166 82.12886 -76.53895
#> 167 79.44107 -77.20244
#> 168 89.00809 -82.69022
#> 169 88.11850 -78.93262
#> 170 83.11158 -78.67737
#> 171 82.11975 -77.40317
#> 172 81.67231 -78.88842
#> 173 80.68019 -76.97997
#> 174 79.23976 -77.34819
#> 175 78.67661 -77.87987
#> 176 79.36949 -77.91093
#> 177 81.28618 -77.91514
#> 178 83.50125 -77.54460
#> 179 79.29785 -77.86241
#> 180 81.69942 -78.75083
#> 181 83.85002 -78.72521
#> 182 82.14366 -78.13542
#> 183 79.35053 -77.44870
#> 184 80.39313 -78.60093
#> 185 83.93737 -80.50491
#> 186 84.07392 -78.84227
#> 187 81.65765 -79.31137
#> 188 84.54190 -82.44243
#> 189 88.29899 -85.10235
#> 190 91.25734 -89.05588
#> 191 95.95799 -86.31677
#> 192 90.32763 -81.04195
#> 193 85.14247 -80.29119
#> 194 84.00587 -80.27536
#> 195 86.07170 -83.35788
#> 196 86.94719 -80.06940
#> 197 84.22259 -79.43354
#> 198 81.80435 -77.56382
#> 199 81.70503 -79.41256
#> 200 85.60565 -82.82386
# }