-
Notifications
You must be signed in to change notification settings - Fork 5
/
1.6.0-DEV-9392bbe347.log
1381 lines (1225 loc) · 53.7 KB
/
1.6.0-DEV-9392bbe347.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
Julia Version 1.6.0-DEV.1122
Commit 9392bbe347 (2020-10-03 14:15 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: AMD EPYC 7502 32-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-10.0.1 (ORCJIT, znver2)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed Libgcrypt_jll ──────────────── v1.8.5+3
Installed LZO_jll ────────────────────── v2.10.0+2
Installed FreeType2_jll ──────────────── v2.10.1+4
Installed FFTW_jll ───────────────────── v3.3.9+5
Installed ArrayInterface ─────────────── v2.13.3
Installed Parsers ────────────────────── v1.0.10
Installed Requires ───────────────────── v1.1.0
Installed Mamba ──────────────────────── v0.12.5
Installed Ratios ─────────────────────── v0.4.0
Installed Fontconfig_jll ─────────────── v2.13.1+13
Installed QuadGK ─────────────────────── v2.4.1
Installed CategoricalArrays ──────────── v0.8.3
Installed StructTypes ────────────────── v1.1.0
Installed DiffRules ──────────────────── v1.0.1
Installed SortingAlgorithms ──────────── v0.3.1
Installed FFTW ───────────────────────── v1.2.4
Installed IterTools ──────────────────── v1.3.0
Installed Gettext_jll ────────────────── v0.20.1+6
Installed Hexagons ───────────────────── v0.2.0
Installed Showoff ────────────────────── v0.3.2
Installed Xorg_libX11_jll ────────────── v1.6.9+3
Installed CoupledFields ──────────────── v0.2.0
Installed ColorTypes ─────────────────── v0.10.9
Installed Grisu ──────────────────────── v1.0.0
Installed SimpleTraits ───────────────── v0.9.3
Installed Missings ───────────────────── v0.4.4
Installed DiffEqDiffTools ────────────── v1.7.0
Installed Libuuid_jll ────────────────── v2.34.0+6
Installed Rmath_jll ──────────────────── v0.2.2+1
Installed Arpack_jll ─────────────────── v3.5.0+3
Installed Graphite2_jll ──────────────── v1.3.13+3
Installed AbstractFFTs ───────────────── v0.5.0
Installed StaticArrays ───────────────── v0.12.4
Installed Arpack ─────────────────────── v0.4.0
Installed Distributions ──────────────── v0.23.4
Installed StatsFuns ──────────────────── v0.9.5
Installed MacroTools ─────────────────── v0.5.5
Installed Libffi_jll ─────────────────── v3.2.1+3
Installed PDMats ─────────────────────── v0.9.12
Installed XSLT_jll ───────────────────── v1.1.33+3
Installed CommonSubexpressions ───────── v0.3.0
Installed Libmount_jll ───────────────── v2.34.0+2
Installed JSON ───────────────────────── v0.21.1
Installed Pango_jll ──────────────────── v1.42.4+9
Installed Xorg_libXdmcp_jll ──────────── v1.1.3+3
Installed ForwardDiff ────────────────── v0.10.12
Installed XML2_jll ───────────────────── v2.9.10+2
Installed Xorg_libpthread_stubs_jll ──── v0.1.0+2
Installed FillArrays ─────────────────── v0.8.14
Installed LightGraphs ────────────────── v1.3.3
Installed Bzip2_jll ──────────────────── v1.0.6+4
Installed PCRE_jll ───────────────────── v8.42.0+3
Installed Expat_jll ──────────────────── v2.2.7+5
Installed StatsBase ──────────────────── v0.33.1
Installed Libiconv_jll ───────────────── v1.16.0+6
Installed Rmath ──────────────────────── v0.6.1
Installed Cairo ──────────────────────── v1.0.5
Installed Compat ─────────────────────── v3.18.0
Installed Calculus ───────────────────── v0.5.1
Installed Inflate ────────────────────── v0.1.2
Installed Xorg_libXrender_jll ────────── v0.9.10+3
Installed Xorg_libxcb_jll ────────────── v1.13.0+2
Installed Glib_jll ───────────────────── v2.59.0+3
Installed Loess ──────────────────────── v0.5.0
Installed WoodburyMatrices ───────────── v0.5.2
Installed Reexport ───────────────────── v0.2.0
Installed UnPack ─────────────────────── v1.0.2
Installed Xorg_libXext_jll ───────────── v1.3.4+3
Installed OpenBLAS_jll ───────────────── v0.3.10+0
Installed IntelOpenMP_jll ────────────── v2018.0.3+0
Installed OffsetArrays ───────────────── v1.3.0
Installed DataAPI ────────────────────── v1.3.0
Installed NLSolversBase ──────────────── v7.5.0
Installed DataStructures ─────────────── v0.17.20
Installed NaNMath ────────────────────── v0.3.4
Installed CompilerSupportLibraries_jll ─ v0.3.3+0
Installed OrderedCollections ─────────── v1.3.1
Installed Libgpg_error_jll ───────────── v1.36.0+2
Installed Colors ─────────────────────── v0.12.4
Installed Compose ────────────────────── v0.8.2
Installed Distances ──────────────────── v0.9.1
Installed KernelDensity ──────────────── v0.5.1
Installed DiffResults ────────────────── v1.0.2
Installed Xorg_libXau_jll ────────────── v1.0.9+3
Installed Cairo_jll ──────────────────── v1.16.0+5
Installed Zlib_jll ───────────────────── v1.2.11+16
Installed libpng_jll ─────────────────── v1.6.37+5
Installed AxisAlgorithms ─────────────── v1.0.0
Installed MKL_jll ────────────────────── v2020.2.254+0
Installed Measures ───────────────────── v0.3.1
Installed FixedPointNumbers ──────────── v0.8.4
Installed PositiveFactorizations ─────── v0.2.3
Installed HarfBuzz_jll ───────────────── v2.6.1+9
Installed FriBidi_jll ────────────────── v1.0.5+5
Installed Contour ────────────────────── v0.5.5
Installed Interpolations ─────────────── v0.12.10
Installed IndirectArrays ─────────────── v0.5.1
Installed DocStringExtensions ────────── v0.8.3
Installed Optim ──────────────────────── v0.22.0
Installed Graphics ───────────────────── v1.0.2
Installed OpenSpecFun_jll ────────────── v0.5.3+3
Installed Pixman_jll ─────────────────── v0.38.4+4
Installed SpecialFunctions ───────────── v0.10.3
Installed Media ──────────────────────── v0.5.0
Installed Parameters ─────────────────── v0.12.1
Installed ArnoldiMethod ──────────────── v0.0.4
Installed ICU_jll ────────────────────── v67.1.0+1
Installed Gadfly ─────────────────────── v1.3.0
Installed Xorg_xtrans_jll ────────────── v1.4.0+2
Installed Juno ───────────────────────── v0.8.4
Installed LineSearches ───────────────── v7.1.0
Updating `~/.julia/environments/v1.6/Project.toml`
[5424a776] + Mamba v0.12.5
Updating `~/.julia/environments/v1.6/Manifest.toml`
[621f4979] + AbstractFFTs v0.5.0
[ec485272] + ArnoldiMethod v0.0.4
[7d9fca2a] + Arpack v0.4.0
[68821587] + Arpack_jll v3.5.0+3
[4fba245c] + ArrayInterface v2.13.3
[13072b0f] + AxisAlgorithms v1.0.0
[6e34b625] + Bzip2_jll v1.0.6+4
[159f3aea] + Cairo v1.0.5
[83423d85] + Cairo_jll v1.16.0+5
[49dc2e85] + Calculus v0.5.1
[324d7699] + CategoricalArrays v0.8.3
[3da002f7] + ColorTypes v0.10.9
[5ae59095] + Colors v0.12.4
[bbf7d656] + CommonSubexpressions v0.3.0
[34da2185] + Compat v3.18.0
[e66e0078] + CompilerSupportLibraries_jll v0.3.3+0
[a81c6b42] + Compose v0.8.2
[d38c429a] + Contour v0.5.5
[7ad07ef1] + CoupledFields v0.2.0
[9a962f9c] + DataAPI v1.3.0
[864edb3b] + DataStructures v0.17.20
[01453d9d] + DiffEqDiffTools v1.7.0
[163ba53b] + DiffResults v1.0.2
[b552c78f] + DiffRules v1.0.1
[b4f34e82] + Distances v0.9.1
[31c24e10] + Distributions v0.23.4
[ffbed154] + DocStringExtensions v0.8.3
[2e619515] + Expat_jll v2.2.7+5
[7a1cc6ca] + FFTW v1.2.4
[f5851436] + FFTW_jll v3.3.9+5
[1a297f60] + FillArrays v0.8.14
[53c48c17] + FixedPointNumbers v0.8.4
[a3f928ae] + Fontconfig_jll v2.13.1+13
[f6369f11] + ForwardDiff v0.10.12
[d7e528f0] + FreeType2_jll v2.10.1+4
[559328eb] + FriBidi_jll v1.0.5+5
[c91e804a] + Gadfly v1.3.0
[78b55507] + Gettext_jll v0.20.1+6
[7746bdde] + Glib_jll v2.59.0+3
[a2bd30eb] + Graphics v1.0.2
[3b182d85] + Graphite2_jll v1.3.13+3
[42e2da0e] + Grisu v1.0.0
[2e76f6c2] + HarfBuzz_jll v2.6.1+9
[a1b4810d] + Hexagons v0.2.0
[a51ab1cf] + ICU_jll v67.1.0+1
[9b13fd28] + IndirectArrays v0.5.1
[d25df0c9] + Inflate v0.1.2
[1d5cc7b8] + IntelOpenMP_jll v2018.0.3+0
[a98d9a8b] + Interpolations v0.12.10
[c8e1da08] + IterTools v1.3.0
[682c06a0] + JSON v0.21.1
[e5e0dc1b] + Juno v0.8.4
[5ab0869b] + KernelDensity v0.5.1
[dd4b983a] + LZO_jll v2.10.0+2
[e9f186c6] + Libffi_jll v3.2.1+3
[d4300ac3] + Libgcrypt_jll v1.8.5+3
[7add5ba3] + Libgpg_error_jll v1.36.0+2
[94ce4f54] + Libiconv_jll v1.16.0+6
[4b2f31a3] + Libmount_jll v2.34.0+2
[38a345b3] + Libuuid_jll v2.34.0+6
[093fc24a] + LightGraphs v1.3.3
[d3d80556] + LineSearches v7.1.0
[4345ca2d] + Loess v0.5.0
[856f044c] + MKL_jll v2020.2.254+0
[1914dd2f] + MacroTools v0.5.5
[5424a776] + Mamba v0.12.5
[442fdcdd] + Measures v0.3.1
[e89f7d12] + Media v0.5.0
[e1d29d7a] + Missings v0.4.4
[d41bc354] + NLSolversBase v7.5.0
[77ba4419] + NaNMath v0.3.4
[6fe1bfb0] + OffsetArrays v1.3.0
[4536629a] + OpenBLAS_jll v0.3.10+0
[efe28fd5] + OpenSpecFun_jll v0.5.3+3
[429524aa] + Optim v0.22.0
[bac558e1] + OrderedCollections v1.3.1
[2f80f16e] + PCRE_jll v8.42.0+3
[90014a1f] + PDMats v0.9.12
[36c8627f] + Pango_jll v1.42.4+9
[d96e819e] + Parameters v0.12.1
[69de0a69] + Parsers v1.0.10
[30392449] + Pixman_jll v0.38.4+4
[85a6dd25] + PositiveFactorizations v0.2.3
[1fd47b50] + QuadGK v2.4.1
[c84ed2f1] + Ratios v0.4.0
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v1.1.0
[79098fc4] + Rmath v0.6.1
[f50d1b31] + Rmath_jll v0.2.2+1
[992d4aef] + Showoff v0.3.2
[699a6c99] + SimpleTraits v0.9.3
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.10.3
[90137ffa] + StaticArrays v0.12.4
[2913bbd2] + StatsBase v0.33.1
[4c63d2b9] + StatsFuns v0.9.5
[856f2bd8] + StructTypes v1.1.0
[3a884ed6] + UnPack v1.0.2
[efce3f68] + WoodburyMatrices v0.5.2
[02c8fc9c] + XML2_jll v2.9.10+2
[aed1982a] + XSLT_jll v1.1.33+3
[4f6342f7] + Xorg_libX11_jll v1.6.9+3
[0c0b7dd1] + Xorg_libXau_jll v1.0.9+3
[a3789734] + Xorg_libXdmcp_jll v1.1.3+3
[1082639a] + Xorg_libXext_jll v1.3.4+3
[ea2f1a96] + Xorg_libXrender_jll v0.9.10+3
[14d82f49] + Xorg_libpthread_stubs_jll v0.1.0+2
[c7cfdc94] + Xorg_libxcb_jll v1.13.0+2
[c5fb5394] + Xorg_xtrans_jll v1.4.0+2
[83775a58] + Zlib_jll v1.2.11+16
[b53b4c65] + libpng_jll v1.6.37+5
[56f22d72] + Artifacts
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[9abbd945] + Profile
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[4607b0f0] + SuiteSparse
[fa267f1f] + TOML
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building FFTW → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/8b7c16b56936047ca41bf25effa137ae0b381ae8/build.log`
Testing Mamba
Status `/tmp/jl_o1URGY/Project.toml`
[159f3aea] Cairo v1.0.5
[49dc2e85] Calculus v0.5.1
[a81c6b42] Compose v0.8.2
[31c24e10] Distributions v0.23.4
[c91e804a] Gadfly v1.3.0
[093fc24a] LightGraphs v1.3.3
[5424a776] Mamba v0.12.5
[90014a1f] PDMats v0.9.12
[189a3867] Reexport v0.2.0
[992d4aef] Showoff v0.3.2
[276daf66] SpecialFunctions v0.10.3
[2913bbd2] StatsBase v0.33.1
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[37e2e46d] LinearAlgebra
[de0858da] Printf
[9a3f8284] Random
[9e88b42a] Serialization
[2f01184e] SparseArrays
[10745b16] Statistics
[8dfed614] Test
Status `/tmp/jl_o1URGY/Manifest.toml`
[621f4979] AbstractFFTs v0.5.0
[ec485272] ArnoldiMethod v0.0.4
[7d9fca2a] Arpack v0.4.0
[68821587] Arpack_jll v3.5.0+3
[4fba245c] ArrayInterface v2.13.3
[13072b0f] AxisAlgorithms v1.0.0
[6e34b625] Bzip2_jll v1.0.6+4
[159f3aea] Cairo v1.0.5
[83423d85] Cairo_jll v1.16.0+5
[49dc2e85] Calculus v0.5.1
[324d7699] CategoricalArrays v0.8.3
[3da002f7] ColorTypes v0.10.9
[5ae59095] Colors v0.12.4
[bbf7d656] CommonSubexpressions v0.3.0
[34da2185] Compat v3.18.0
[e66e0078] CompilerSupportLibraries_jll v0.3.3+0
[a81c6b42] Compose v0.8.2
[d38c429a] Contour v0.5.5
[7ad07ef1] CoupledFields v0.2.0
[9a962f9c] DataAPI v1.3.0
[864edb3b] DataStructures v0.17.20
[01453d9d] DiffEqDiffTools v1.7.0
[163ba53b] DiffResults v1.0.2
[b552c78f] DiffRules v1.0.1
[b4f34e82] Distances v0.9.1
[31c24e10] Distributions v0.23.4
[ffbed154] DocStringExtensions v0.8.3
[2e619515] Expat_jll v2.2.7+5
[7a1cc6ca] FFTW v1.2.4
[f5851436] FFTW_jll v3.3.9+5
[1a297f60] FillArrays v0.8.14
[53c48c17] FixedPointNumbers v0.8.4
[a3f928ae] Fontconfig_jll v2.13.1+13
[f6369f11] ForwardDiff v0.10.12
[d7e528f0] FreeType2_jll v2.10.1+4
[559328eb] FriBidi_jll v1.0.5+5
[c91e804a] Gadfly v1.3.0
[78b55507] Gettext_jll v0.20.1+6
[7746bdde] Glib_jll v2.59.0+3
[a2bd30eb] Graphics v1.0.2
[3b182d85] Graphite2_jll v1.3.13+3
[42e2da0e] Grisu v1.0.0
[2e76f6c2] HarfBuzz_jll v2.6.1+9
[a1b4810d] Hexagons v0.2.0
[a51ab1cf] ICU_jll v67.1.0+1
[9b13fd28] IndirectArrays v0.5.1
[d25df0c9] Inflate v0.1.2
[1d5cc7b8] IntelOpenMP_jll v2018.0.3+0
[a98d9a8b] Interpolations v0.12.10
[c8e1da08] IterTools v1.3.0
[682c06a0] JSON v0.21.1
[e5e0dc1b] Juno v0.8.4
[5ab0869b] KernelDensity v0.5.1
[dd4b983a] LZO_jll v2.10.0+2
[e9f186c6] Libffi_jll v3.2.1+3
[d4300ac3] Libgcrypt_jll v1.8.5+3
[7add5ba3] Libgpg_error_jll v1.36.0+2
[94ce4f54] Libiconv_jll v1.16.0+6
[4b2f31a3] Libmount_jll v2.34.0+2
[38a345b3] Libuuid_jll v2.34.0+6
[093fc24a] LightGraphs v1.3.3
[d3d80556] LineSearches v7.1.0
[4345ca2d] Loess v0.5.0
[856f044c] MKL_jll v2020.2.254+0
[1914dd2f] MacroTools v0.5.5
[5424a776] Mamba v0.12.5
[442fdcdd] Measures v0.3.1
[e89f7d12] Media v0.5.0
[e1d29d7a] Missings v0.4.4
[d41bc354] NLSolversBase v7.5.0
[77ba4419] NaNMath v0.3.4
[6fe1bfb0] OffsetArrays v1.3.0
[4536629a] OpenBLAS_jll v0.3.10+0
[efe28fd5] OpenSpecFun_jll v0.5.3+3
[429524aa] Optim v0.22.0
[bac558e1] OrderedCollections v1.3.1
[2f80f16e] PCRE_jll v8.42.0+3
[90014a1f] PDMats v0.9.12
[36c8627f] Pango_jll v1.42.4+9
[d96e819e] Parameters v0.12.1
[69de0a69] Parsers v1.0.10
[30392449] Pixman_jll v0.38.4+4
[85a6dd25] PositiveFactorizations v0.2.3
[1fd47b50] QuadGK v2.4.1
[c84ed2f1] Ratios v0.4.0
[189a3867] Reexport v0.2.0
[ae029012] Requires v1.1.0
[79098fc4] Rmath v0.6.1
[f50d1b31] Rmath_jll v0.2.2+1
[992d4aef] Showoff v0.3.2
[699a6c99] SimpleTraits v0.9.3
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.10.3
[90137ffa] StaticArrays v0.12.4
[2913bbd2] StatsBase v0.33.1
[4c63d2b9] StatsFuns v0.9.5
[856f2bd8] StructTypes v1.1.0
[3a884ed6] UnPack v1.0.2
[efce3f68] WoodburyMatrices v0.5.2
[02c8fc9c] XML2_jll v2.9.10+2
[aed1982a] XSLT_jll v1.1.33+3
[4f6342f7] Xorg_libX11_jll v1.6.9+3
[0c0b7dd1] Xorg_libXau_jll v1.0.9+3
[a3789734] Xorg_libXdmcp_jll v1.1.3+3
[1082639a] Xorg_libXext_jll v1.3.4+3
[ea2f1a96] Xorg_libXrender_jll v0.9.10+3
[14d82f49] Xorg_libpthread_stubs_jll v0.1.0+2
[c7cfdc94] Xorg_libxcb_jll v1.13.0+2
[c5fb5394] Xorg_xtrans_jll v1.4.0+2
[83775a58] Zlib_jll v1.2.11+16
[b53b4c65] libpng_jll v1.6.37+5
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[44cfe95a] Pkg
[de0858da] Printf
[9abbd945] Profile
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[4607b0f0] SuiteSparse
[fa267f1f] TOML
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
Testing Running tests...
Running tests:
>>> Testing ../doc/tutorial/line.jl
digraph MambaModel {
"beta" [shape="ellipse"];
"beta" -> "mu";
"y" [shape="ellipse", style="filled", fillcolor="gray85"];
"mu" [shape="diamond", style="filled", fillcolor="gray85"];
"mu" -> "y";
"s2" [shape="ellipse"];
"s2" -> "y";
"xmat" [shape="box", style="filled", fillcolor="gray85"];
"xmat" -> "mu";
}
MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0%% [0:52:22 of 0:52:25 remaining]
Chain 1: 10%% [0:00:41 of 0:00:45 remaining]
Chain 1: 20%% [0:00:20 of 0:00:25 remaining]
Chain 1: 30%% [0:00:13 of 0:00:18 remaining]
Chain 1: 40%% [0:00:09 of 0:00:15 remaining]
Chain 1: 50%% [0:00:06 of 0:00:12 remaining]
Chain 1: 60%% [0:00:04 of 0:00:11 remaining]
Chain 1: 70%% [0:00:03 of 0:00:10 remaining]
Chain 1: 80%% [0:00:02 of 0:00:10 remaining]
Chain 1: 90%% [0:00:01 of 0:00:09 remaining]
Chain 1: 100%% [0:00:00 of 0:00:09 remaining]
Chain 2: 0%% [0:00:04 of 0:00:04 remaining]
Chain 2: 10%% [0:00:04 of 0:00:04 remaining]
Chain 2: 20%% [0:00:04 of 0:00:05 remaining]
Chain 2: 30%% [0:00:04 of 0:00:06 remaining]
Chain 2: 40%% [0:00:03 of 0:00:06 remaining]
Chain 2: 50%% [0:00:03 of 0:00:06 remaining]
Chain 2: 60%% [0:00:02 of 0:00:06 remaining]
Chain 2: 70%% [0:00:02 of 0:00:05 remaining]
Chain 2: 80%% [0:00:01 of 0:00:05 remaining]
Chain 2: 90%% [0:00:01 of 0:00:05 remaining]
Chain 2: 100%% [0:00:00 of 0:00:05 remaining]
Chain 3: 0%% [0:00:03 of 0:00:03 remaining]
Chain 3: 10%% [0:00:03 of 0:00:04 remaining]
Chain 3: 20%% [0:00:03 of 0:00:03 remaining]
Chain 3: 30%% [0:00:03 of 0:00:04 remaining]
Chain 3: 40%% [0:00:02 of 0:00:04 remaining]
Chain 3: 50%% [0:00:02 of 0:00:03 remaining]
Chain 3: 60%% [0:00:01 of 0:00:03 remaining]
Chain 3: 70%% [0:00:01 of 0:00:03 remaining]
Chain 3: 80%% [0:00:01 of 0:00:03 remaining]
Chain 3: 90%% [0:00:00 of 0:00:03 remaining]
Chain 3: 100%% [0:00:00 of 0:00:04 remaining]
MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0%% [0:01:14 of 0:01:14 remaining]
Chain 1: 10%% [0:00:05 of 0:00:06 remaining]
Chain 1: 20%% [0:00:04 of 0:00:05 remaining]
Chain 1: 30%% [0:00:04 of 0:00:05 remaining]
Chain 1: 40%% [0:00:03 of 0:00:05 remaining]
Chain 1: 50%% [0:00:03 of 0:00:05 remaining]
Chain 1: 60%% [0:00:02 of 0:00:05 remaining]
Chain 1: 70%% [0:00:02 of 0:00:05 remaining]
Chain 1: 80%% [0:00:01 of 0:00:05 remaining]
Chain 1: 90%% [0:00:01 of 0:00:05 remaining]
Chain 1: 100%% [0:00:00 of 0:00:05 remaining]
Chain 2: 0%% [0:00:06 of 0:00:06 remaining]
Chain 2: 10%% [0:00:05 of 0:00:05 remaining]
Chain 2: 20%% [0:00:05 of 0:00:06 remaining]
Chain 2: 30%% [0:00:04 of 0:00:06 remaining]
Chain 2: 40%% [0:00:03 of 0:00:06 remaining]
Chain 2: 50%% [0:00:03 of 0:00:06 remaining]
Chain 2: 60%% [0:00:02 of 0:00:06 remaining]
Chain 2: 70%% [0:00:02 of 0:00:06 remaining]
Chain 2: 80%% [0:00:01 of 0:00:06 remaining]
Chain 2: 90%% [0:00:01 of 0:00:06 remaining]
Chain 2: 100%% [0:00:00 of 0:00:06 remaining]
Chain 3: 0%% [0:00:06 of 0:00:06 remaining]
Chain 3: 10%% [0:00:06 of 0:00:07 remaining]
Chain 3: 20%% [0:00:05 of 0:00:07 remaining]
Chain 3: 30%% [0:00:05 of 0:00:07 remaining]
Chain 3: 40%% [0:00:04 of 0:00:06 remaining]
Chain 3: 50%% [0:00:03 of 0:00:06 remaining]
Chain 3: 60%% [0:00:03 of 0:00:06 remaining]
Chain 3: 70%% [0:00:02 of 0:00:06 remaining]
Chain 3: 80%% [0:00:01 of 0:00:06 remaining]
Chain 3: 90%% [0:00:01 of 0:00:06 remaining]
Chain 3: 100%% [0:00:00 of 0:00:06 remaining]
MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0%% [0:58:42 of 0:58:45 remaining]
Chain 1: 10%% [0:00:32 of 0:00:36 remaining]
Chain 1: 20%% [0:00:14 of 0:00:18 remaining]
Chain 1: 30%% [0:00:08 of 0:00:12 remaining]
Chain 1: 40%% [0:00:05 of 0:00:09 remaining]
Chain 1: 50%% [0:00:04 of 0:00:07 remaining]
Chain 1: 60%% [0:00:02 of 0:00:06 remaining]
Chain 1: 70%% [0:00:02 of 0:00:05 remaining]
Chain 1: 80%% [0:00:01 of 0:00:05 remaining]
Chain 1: 90%% [0:00:00 of 0:00:04 remaining]
Chain 1: 100%% [0:00:00 of 0:00:04 remaining]
Chain 2: 0%% [0:00:00 of 0:00:00 remaining]
Chain 2: 10%% [0:00:00 of 0:00:00 remaining]
Chain 2: 20%% [0:00:00 of 0:00:00 remaining]
Chain 2: 30%% [0:00:00 of 0:00:00 remaining]
Chain 2: 40%% [0:00:00 of 0:00:00 remaining]
Chain 2: 50%% [0:00:00 of 0:00:00 remaining]
Chain 2: 60%% [0:00:00 of 0:00:00 remaining]
Chain 2: 70%% [0:00:00 of 0:00:00 remaining]
Chain 2: 80%% [0:00:00 of 0:00:00 remaining]
Chain 2: 90%% [0:00:00 of 0:00:00 remaining]
Chain 2: 100%% [0:00:00 of 0:00:00 remaining]
Chain 3: 0%% [0:00:00 of 0:00:00 remaining]
Chain 3: 10%% [0:00:00 of 0:00:00 remaining]
Chain 3: 20%% [0:00:00 of 0:00:00 remaining]
Chain 3: 30%% [0:00:00 of 0:00:00 remaining]
Chain 3: 40%% [0:00:00 of 0:00:00 remaining]
Chain 3: 50%% [0:00:00 of 0:00:00 remaining]
Chain 3: 60%% [0:00:00 of 0:00:00 remaining]
Chain 3: 70%% [0:00:00 of 0:00:00 remaining]
Chain 3: 80%% [0:00:00 of 0:00:00 remaining]
Chain 3: 90%% [0:00:00 of 0:00:00 remaining]
Chain 3: 100%% [0:00:00 of 0:00:00 remaining]
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Gelman, Rubin, and Brooks Diagnostic:
PSRF 97.5%
s2 1.008 1.014
beta[1] 1.003 1.003
beta[2] 1.004 1.004
Multivariate 1.005 NaN
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Geweke Diagnostic:
First Window Fraction = 0.1
Second Window Fraction = 0.5
Z-score p-value
s2 -1.917 0.0553
beta[1] 0.292 0.7703
beta[2] -0.407 0.6837
Z-score p-value
s2 -1.446 0.1481
beta[1] 0.330 0.7414
beta[2] -0.071 0.9430
Z-score p-value
s2 0.109 0.9134
beta[1] 0.441 0.6591
beta[2] -0.408 0.6834
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Heidelberger and Welch Diagnostic:
Target Halfwidth Ratio = 0.1
Alpha = 0.05
Burn-in Stationarity p-value Mean Halfwidth Test
s2 251 1 0.2148 1.2295460 0.226732669 0
beta[1] 251 1 0.6055 0.5940588 0.059089528 1
beta[2] 251 1 0.6289 0.7993377 0.017106799 1
Burn-in Stationarity p-value Mean Halfwidth Test
s2 251 1 0.6626 1.8062471 0.904501207 0
beta[1] 251 1 0.6290 0.6181020 0.078123100 0
beta[2] 251 1 0.8576 0.7981003 0.020895812 1
Burn-in Stationarity p-value Mean Halfwidth Test
s2 1712 1 0.1537 1.0650605 0.19075967 0
beta[1] 251 1 0.9663 0.6106894 0.06434221 0
beta[2] 251 1 0.9475 0.7982556 0.01800204 1
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Raftery and Lewis Diagnostic:
Quantile (q) = 0.025
Accuracy (r) = 0.005
Probability (s) = 0.95
Thinning Burn-in Total Nmin Dependence Factor
s2 2 255 8.0050×10³ 3746 2.1369461
beta[1] 4 275 2.3163×10⁴ 3746 6.1833956
beta[2] 4 271 2.5067×10⁴ 3746 6.6916711
Thinning Burn-in Total Nmin Dependence Factor
s2 2 255 8.0050×10³ 3746 2.136946
beta[1] 4 283 3.6199×10⁴ 3746 9.663374
beta[2] 4 275 2.5439×10⁴ 3746 6.790977
Thinning Burn-in Total Nmin Dependence Factor
s2 2 257 8.6890×10³ 3746 2.3195408
beta[1] 2 277 2.7761×10⁴ 3746 7.4108382
beta[2] 4 267 2.0395×10⁴ 3746 5.4444741
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
s2 1.47773409 2.52635579 0.0208903913 0.1432634785 310.96968
beta[1] 0.60761674 1.22660865 0.0101428052 0.0200122920 3756.80266
beta[2] 0.79856453 0.37187765 0.0030750497 0.0054431506 4667.66275
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
s2 0.172546603 0.386957582 0.67024634 1.31398858 10.2998781
beta[1] -1.896707836 0.021370325 0.60717176 1.19592287 3.0620725
beta[2] 0.056247185 0.623094724 0.80206179 0.97088166 1.5413021
95% Lower 95% Upper
s2 0.06757737 5.8193863
beta[1] -1.86423428 3.0792944
beta[2] 0.11157358 1.5854260
s2 beta[1] beta[2]
s2 1.0000000000 0.0046759853 0.005762963
beta[1] 0.0046759853 1.0000000000 -0.891949917
beta[2] 0.0057629631 -0.8919499169 1.000000000
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.81367569 0.44103879 0.2120477433 0.0034714498
beta[1] 0.32267007 0.05452380 0.0062617266 0.0043797134
beta[2] 0.27100508 0.07333208 0.0094434036 0.0015764521
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.94402494 0.79094214 0.686211662 0.1296633155
beta[1] 0.30596699 0.04906153 0.013730582 0.0099371625
beta[2] 0.25389463 0.02819185 -0.003680787 0.0198941521
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.91635792 0.7108439864 0.5063313136 -0.0356895306
beta[1] 0.32284772 0.0074974536 0.0120443957 -0.0056730642
beta[2] 0.26120531 -0.0175567529 0.0058908322 -0.0183056564
Change Rate
s2 1.000
beta[1] 0.839
beta[2] 0.839
Multivariate 1.000
MCMC Processing of 4875 Iterations x 3 Chains...
Chain 1: 0%% [0:04:54 of 0:04:54 remaining]
Chain 1: 10%% [0:00:05 of 0:00:06 remaining]
Chain 1: 20%% [0:00:02 of 0:00:03 remaining]
Chain 1: 30%% [0:00:01 of 0:00:02 remaining]
Chain 1: 40%% [0:00:01 of 0:00:02 remaining]
Chain 1: 50%% [0:00:01 of 0:00:01 remaining]
Chain 1: 60%% [0:00:00 of 0:00:01 remaining]
Chain 1: 70%% [0:00:00 of 0:00:01 remaining]
Chain 1: 80%% [0:00:00 of 0:00:01 remaining]
Chain 1: 90%% [0:00:00 of 0:00:01 remaining]
Chain 1: 100%% [0:00:00 of 0:00:01 remaining]
Chain 2: 0%% [0:05:17 of 0:05:18 remaining]
Chain 2: 10%% [0:00:06 of 0:00:07 remaining]
Chain 2: 20%% [0:00:03 of 0:00:03 remaining]
Chain 2: 30%% [0:00:02 of 0:00:02 remaining]
Chain 2: 40%% [0:00:01 of 0:00:02 remaining]
Chain 2: 50%% [0:00:01 of 0:00:01 remaining]
Chain 2: 60%% [0:00:00 of 0:00:01 remaining]
Chain 2: 70%% [0:00:00 of 0:00:01 remaining]
Chain 2: 80%% [0:00:00 of 0:00:01 remaining]
Chain 2: 90%% [0:00:00 of 0:00:01 remaining]
Chain 2: 100%% [0:00:00 of 0:00:01 remaining]
Chain 3: 0%% [0:05:40 of 0:05:40 remaining]
Chain 3: 10%% [0:00:06 of 0:00:07 remaining]
Chain 3: 20%% [0:00:03 of 0:00:04 remaining]
Chain 3: 30%% [0:00:02 of 0:00:02 remaining]
Chain 3: 40%% [0:00:01 of 0:00:02 remaining]
Chain 3: 50%% [0:00:01 of 0:00:01 remaining]
Chain 3: 60%% [0:00:00 of 0:00:01 remaining]
Chain 3: 70%% [0:00:00 of 0:00:01 remaining]
Chain 3: 80%% [0:00:00 of 0:00:01 remaining]
Chain 3: 90%% [0:00:00 of 0:00:01 remaining]
Chain 3: 100%% [0:00:00 of 0:00:01 remaining]
DIC Effective Parameters
pD 13.656300 0.71578780
pV 26.184484 6.97987995
Iterations = 1000:5000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 2001
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
beta[1] 0.62166588 1.31616508 0.0169873719 0.026830472 2001
beta[2] 0.79443204 0.39884535 0.0051477846 0.007545927 2001
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
beta[1] -2.018953513 -0.0003663093 0.61470536 1.22624355 3.2530870
beta[2] 0.005842625 0.6132411946 0.79780114 0.96814334 1.5823151
MCMC Simulation of 5000 Iterations x 3 Chains...
Chain 1: 0%% [0:00:06 of 0:00:06 remaining]
Chain 1: 10%% [0:00:02 of 0:00:02 remaining]
Chain 1: 20%% [0:00:02 of 0:00:02 remaining]
Chain 1: 30%% [0:00:02 of 0:00:02 remaining]
Chain 1: 40%% [0:00:01 of 0:00:02 remaining]
Chain 1: 50%% [0:00:01 of 0:00:02 remaining]
Chain 1: 60%% [0:00:01 of 0:00:02 remaining]
Chain 1: 70%% [0:00:01 of 0:00:02 remaining]
Chain 1: 80%% [0:00:00 of 0:00:02 remaining]
Chain 1: 90%% [0:00:00 of 0:00:02 remaining]
Chain 1: 100%% [0:00:00 of 0:00:02 remaining]
Chain 2: 0%% [0:00:01 of 0:00:01 remaining]
Chain 2: 10%% [0:00:02 of 0:00:02 remaining]
Chain 2: 20%% [0:00:01 of 0:00:02 remaining]
Chain 2: 30%% [0:00:01 of 0:00:02 remaining]
Chain 2: 40%% [0:00:01 of 0:00:02 remaining]
Chain 2: 50%% [0:00:01 of 0:00:02 remaining]
Chain 2: 60%% [0:00:01 of 0:00:02 remaining]
Chain 2: 70%% [0:00:01 of 0:00:02 remaining]
Chain 2: 80%% [0:00:00 of 0:00:02 remaining]
Chain 2: 90%% [0:00:00 of 0:00:02 remaining]
Chain 2: 100%% [0:00:00 of 0:00:02 remaining]
Chain 3: 0%% [0:00:02 of 0:00:02 remaining]
Chain 3: 10%% [0:00:02 of 0:00:03 remaining]
Chain 3: 20%% [0:00:02 of 0:00:02 remaining]
Chain 3: 30%% [0:00:01 of 0:00:02 remaining]
Chain 3: 40%% [0:00:01 of 0:00:02 remaining]
Chain 3: 50%% [0:00:01 of 0:00:02 remaining]
Chain 3: 60%% [0:00:01 of 0:00:02 remaining]
Chain 3: 70%% [0:00:01 of 0:00:02 remaining]
Chain 3: 80%% [0:00:00 of 0:00:02 remaining]
Chain 3: 90%% [0:00:00 of 0:00:02 remaining]
Chain 3: 100%% [0:00:00 of 0:00:02 remaining]
Iterations = 252:15000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 7375
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
s2 1.34050970 2.2387549 0.015050985 0.101370557 487.7412
beta[1] 0.60832155 1.1831310 0.007954103 0.015784612 5618.2083
beta[2] 0.79822787 0.3569471 0.002399729 0.004302574 6882.5761
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
s2 0.17341311 0.384353594 0.65631261 1.25560487 8.5945223
beta[1] -1.75805769 0.035195194 0.60555934 1.17289379 2.9570467
beta[2] 0.09260387 0.624842906 0.80135634 0.97049431 1.5033312
Object of type "Model"
-------------------------------------------------------------------------------
beta:
A monitored node of type "2-element ArrayStochastic{1}"
[1.1902678809862768, 2.04817970778924]
-------------------------------------------------------------------------------
y:
An unmonitored node of type "5-element ArrayStochastic{1}"
[1.0, 3.0, 3.0, 3.0, 5.0]
-------------------------------------------------------------------------------
mu:
An unmonitored node of type "5-element ArrayLogical{1}"
[3.2384475887755166, 5.286627296564756, 7.334807004353996, 9.382986712143236, 11.431166419932476]
-------------------------------------------------------------------------------
xmat:
[1.0 1.0; 1.0 2.0; 1.0 3.0; 1.0 4.0; 1.0 5.0]
-------------------------------------------------------------------------------
s2:
A monitored node of type "ScalarStochastic"
0.5089331579554403
>>> Testing ../doc/samplers/amm.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.64517314 1.24757447 0.017643367 0.077890318 256.54645
b1 0.77989321 0.39436878 0.005577217 0.027694002 202.78397
s2 1.46868477 2.71633428 0.038414768 0.178202069 232.34907
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.768364974 0.06974128 0.61720286 1.29023652 3.1789614
b1 0.010584061 0.57947874 0.78001712 0.97541858 1.5733141
s2 0.181878908 0.41367730 0.67597582 1.40504444 8.5217766
>>> Testing ../doc/samplers/amwg.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.5983881 1.5898262 0.0224835377 0.162560986 95.645964
b1 0.8006155 0.4358909 0.0061644284 0.042038394 107.513597
s2 2.2710644 9.1262030 0.1290640007 0.686946293 176.495925
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -2.17471713 0.03038741 0.67912808 1.30557650 3.3496859
b1 0.03755749 0.60096712 0.77599921 0.96011511 1.7513752
s2 0.16901125 0.39945048 0.70340929 1.47274298 13.3376638
>>> Testing ../doc/samplers/bhmc.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.5533 0.49717585 0.0049717585 0.0044108567 10000.0000
gamma[2] 0.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[3] 0.2654 0.44156804 0.0044156804 0.0063634372 4815.1713
gamma[4] 0.7782 0.41547806 0.0041547806 0.0045179328 8457.0064
gamma[5] 1.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[6] 0.5865 0.49248554 0.0049248554 0.0047255484 10000.0000
gamma[7] 0.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[8] 0.5151 0.49979693 0.0049979693 0.0043935099 10000.0000
gamma[9] 0.7776 0.41587923 0.0041587923 0.0054422960 5839.4258
gamma[10] 0.0000 0.00000000 0.0000000000 0.0000000000 NaN
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 0 0 0 0 0
gamma[3] 0 0 0 1 1
gamma[4] 0 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 0 0 1 1 1
gamma[7] 0 0 0 0 0
gamma[8] 0 0 1 1 1
gamma[9] 0 1 1 1 1
gamma[10] 0 0 0 0 0
>>> Testing ../doc/samplers/bia.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.5138 0.499834516 0.00499834516 0.0089044082 3150.95621
gamma[2] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[3] 0.0020 0.044678850 0.00044678850 0.0014354811 968.74393
gamma[4] 0.9979 0.045779904 0.00045779904 0.0021000000 475.23800
gamma[5] 0.9989 0.033149659 0.00033149659 0.0011000000 908.18173
gamma[6] 0.9905 0.097008716 0.00097008716 0.0032172986 909.15679
gamma[7] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[8] 0.4973 0.500017711 0.00500017711 0.0081561218 3758.40319
gamma[9] 0.9997 0.017318776 0.00017318776 0.0003000000 3332.66660
gamma[10] 0.0003 0.017318776 0.00017318776 0.0003000000 3332.66660
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 0 0 0 0 0
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 0 0 0 0 0
gamma[8] 0 0 0 1 1
gamma[9] 1 1 1 1 1
gamma[10] 0 0 0 0 0
>>> Testing ../doc/samplers/bmc3.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.5008 0.500024362 0.00500024362 0.0133799790 1396.59816
gamma[2] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[3] 0.0015 0.038702710 0.00038702710 0.0014025590 761.44842
gamma[4] 0.9990 0.031608542 0.00031608542 0.0010000000 999.09991
gamma[5] 0.9996 0.019996999 0.00019996999 0.0004000000 2499.24992
gamma[6] 0.9886 0.106165753 0.00106165753 0.0043531482 594.78771
gamma[7] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[8] 0.4834 0.499749352 0.00499749352 0.0148556829 1131.66853
gamma[9] 0.9978 0.046854877 0.00046854877 0.0022000000 453.59081
gamma[10] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 0 0 0 0 0
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 0 0 0 0 0
gamma[8] 0 0 0 1 1
gamma[9] 1 1 1 1 1
gamma[10] 0 0 0 0 0
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.5214 0.499566809 0.00499566809 0.0151770827 1083.45419
gamma[2] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[3] 0.0059 0.076588358 0.00076588358 0.0033517521 522.13370
gamma[4] 1.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[5] 0.9993 0.026449574 0.00026449574 0.0007000000 1427.71420
gamma[6] 0.9888 0.105240998 0.00105240998 0.0044907987 549.19015
gamma[7] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[8] 0.4850 0.499799940 0.00499799940 0.0140270302 1269.58253
gamma[9] 0.9976 0.048933419 0.00048933419 0.0024000000 415.70824
gamma[10] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 0 0 0 0 0
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 0 0 0 0 0
gamma[8] 0 0 0 1 1
gamma[9] 1 1 1 1 1
gamma[10] 0 0 0 0 0