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 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 1376 1377 1378 1379 1380 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 1414 1415 1416 1417 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1432 1433 1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 1451 1452 1453 1454 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 1475 1476 1477 1478 1479 1480 1481 1482 1483 1484 1485 1486 1487 1488 1489 1490 1491 1492 1493 1494 1495 1496 1497 1498 1499 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 1571 1572 1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650 1651
|
Running GARLI-PART Version 2.0.1008 (17 Mar 2011)
->Single processor version<-
##############################################################
This is GARLI 2.0, the first "official" release including
partitioned models. It is a merging of
official release 1.0 and beta version GARLI-PART 0.97
Briefly, it includes models for nucleotides, amino acids,
codons, and morphology-like characters, any of which can be
mixed together and applied to different subsets of data.
General program usage is extensively documented here:
http://www.nescent.org/wg_garli/
see this page for details on partitioned usage:
http://www.nescent.org/wg_garli/Partition_testing_version
and this page for details on Mkv mophology model usage:
http://www.nescent.org/wg_garli/Mkv_morphology_model
PLEASE LET ME KNOW OF ANY PROBLEMS AT:
garli.support@gmail.com
##############################################################
This version has undergone much testing, but is still a BETA VERSION.
- Please check results carefully! -
Compiled Mar 21 2011 13:13:18 using Intel icc compiler version 9.10
Using NCL version 2.1.10
#######################################################
Reading config file garli.conf
###################################################
READING OF DATA
Attempting to read data file in Nexus format (using NCL):
lewis2001.nex ...
Reading CHARACTERS block... found standard data... successful
Reading ASSUMPTIONS block... successful
###################################################
PARTITIONING OF DATA AND MODELS
GARLI data subset 1
CHARACTERS block #1 ("Untitled CHARACTERS Block 1")
Data read as Standard k-state data, variable only,
modeled as Standard k-state data, variable only
Subset of data with 2 states:
chars 46-51 53 55-58 60 63 65-70 84 87-89 91-95 97-101 103 104 106 107 113 115
Summary of data:
30 sequences.
0 constant characters.
39 parsimony-informative characters.
0 uninformative variable characters.
39 total characters.
39 unique patterns in compressed data matrix.
Pattern processing required < 1 second
Part ambig. char's of taxon Chelonus_sp. converted to full ambiguity:
char 90
Part ambig. char's of taxon Alysia_lucicola converted to full ambiguity:
char 90
Subset of data with 3 states:
chars 54 61 62 64 71 72 83 90-102 \ 6
Summary of data:
30 sequences.
0 constant characters.
10 parsimony-informative characters.
0 uninformative variable characters.
10 total characters.
10 unique patterns in compressed data matrix.
Pattern processing required < 1 second
Subset of data with 4 states:
chars 52 59 73
Summary of data:
30 sequences.
0 constant characters.
0 parsimony-informative characters.
3 uninformative variable characters.
3 total characters.
3 unique patterns in compressed data matrix.
Pattern processing required < 1 second
NOTE: No characters found with 5 observed states.
NOTE: No characters found with 6 observed states.
###################################################
NOTE: Unlike many programs, the amount of system memory that Garli will
use can be controlled by the user.
(This comes from the availablememory setting in the configuration file.
Availablememory should NOT be set to more than the actual amount of
physical memory that your computer has installed)
For this dataset:
Mem level availablememory setting
great >= 1 MB
good approx 0 MB to 1 MB
low approx 0 MB to 1 MB
very low approx 0 MB to 1 MB
the minimum required availablememory is 1 MB
You specified that Garli should use at most 512.0 MB of memory.
Garli will actually use approx. 0.6 MB of memory
**Your memory level is: great (you don't need to change anything)**
#######################################################
STARTING RUN
>>>Search rep 1 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Starting with seed=113156
creating random starting tree...
NOTE: Model contains no mutable parameters!
Setting model mutation weight to zero.
Initial ln Likelihood: -1296.0557
optimizing: starting branch lengths...
pass 1:+ 364.588 (branch= 364.59 scale= 0.00)
pass 2:+ 66.578 (branch= 63.37 scale= 3.21)
pass 3:+ 24.948 (branch= 23.25 scale= 1.69)
pass 4:+ 1.187 (branch= 0.53 scale= 0.66)
pass 5:+ 1.040 (branch= 1.04 scale= 0.00)
pass 6:+ 0.000 (branch= 0.00 scale= 0.00)
lnL after optimization: -837.7145
gen current_lnL precision last_tree_imp
0 -837.7145 0.500 0
100 -592.1303 0.500 95
200 -550.9261 0.500 198
300 -502.7223 0.500 293
400 -496.2153 0.500 379
500 -482.5724 0.500 480
600 -480.2205 0.500 599
700 -479.5176 0.500 599
800 -479.0438 0.500 706
900 -478.6735 0.500 706
1000 -478.3272 0.500 706
1100 -477.8447 0.500 1006
1200 -476.5510 0.500 1153
1300 -476.0617 0.500 1153
1400 -475.8286 0.500 1153
1500 -475.5767 0.500 1153
1600 -475.4253 0.500 1153
1700 -475.2730 0.500 1153
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.002 lnL
1800 -475.1729 0.451 1153
1900 -475.1232 0.451 1153
2000 -474.7475 0.451 1914
2100 -474.6530 0.451 1914
2200 -474.3547 0.451 2182
2300 -474.2897 0.451 2182
2400 -474.1635 0.451 2182
2500 -474.1124 0.451 2182
2600 -474.0612 0.451 2182
2700 -473.9885 0.451 2182
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
2800 -473.9058 0.402 2744
2900 -473.7521 0.402 2846
3000 -473.7250 0.402 2846
3100 -473.6863 0.402 2846
3200 -473.6766 0.402 2846
3300 -473.6522 0.402 2846
3400 -473.6455 0.402 2846
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
3500 -473.6274 0.353 2846
3600 -473.5061 0.353 3576
3700 -473.4862 0.353 3576
3800 -473.4791 0.353 3576
3900 -473.4632 0.353 3576
4000 -473.4431 0.353 3576
4100 -473.4328 0.353 3576
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4200 -473.4217 0.304 3576
4300 -473.4091 0.304 3576
4400 -473.3964 0.304 3576
4500 -473.3896 0.304 3576
4600 -473.3704 0.304 4588
4700 -473.3686 0.304 4588
4800 -473.3595 0.304 4588
4900 -473.3544 0.304 4588
5000 -473.3466 0.304 4588
5100 -473.3397 0.304 4588
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
5200 -473.3341 0.255 4588
5300 -473.3251 0.255 4588
5400 -473.3183 0.255 4588
5500 -473.2540 0.255 5457
5600 -473.1386 0.255 5457
5700 -473.0787 0.255 5457
5800 -473.0601 0.255 5457
5900 -473.0481 0.255 5457
6000 -472.9455 0.255 5996
6100 -472.9401 0.255 5996
6200 -472.9357 0.255 5996
6300 -472.9343 0.255 5996
6400 -472.9339 0.255 5996
6500 -472.9274 0.255 5996
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
6600 -472.9270 0.206 5996
6700 -472.9227 0.206 5996
6800 -472.9208 0.206 5996
6900 -472.9158 0.206 5996
7000 -472.9152 0.206 5996
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
7100 -472.9117 0.157 5996
7200 -472.8881 0.157 7137
7300 -472.8873 0.157 7137
7400 -472.8860 0.157 7137
7500 -472.8830 0.157 7137
7600 -472.8824 0.157 7137
7700 -472.8805 0.157 7137
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.168 lnL
7800 -472.6943 0.108 7137
7900 -472.6573 0.108 7137
8000 -472.6449 0.108 7137
8100 -472.6326 0.108 7137
8200 -472.6290 0.108 7137
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
8300 -472.6197 0.059 7137
8400 -472.5536 0.059 8357
8500 -472.5409 0.059 8357
8600 -472.5364 0.059 8357
8700 -472.5310 0.059 8357
8800 -472.5256 0.059 8357
8900 -472.5249 0.059 8357
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.066 lnL
9000 -472.4570 0.010 8357
9100 -472.4491 0.010 8357
9200 -472.4424 0.010 8357
9300 -472.4399 0.010 8357
9400 -472.4338 0.010 8357
9500 -472.4322 0.010 8357
9600 -472.4291 0.010 8357
9700 -472.4275 0.010 8357
9800 -472.4256 0.010 8357
9900 -472.4229 0.010 8357
10000 -472.4203 0.010 8357
10100 -472.4203 0.010 8357
10200 -472.4200 0.010 8357
10300 -472.4200 0.010 8357
10400 -472.4197 0.010 8357
10500 -472.4191 0.010 8357
10600 -472.4179 0.010 8357
10700 -472.4176 0.010 8357
10800 -472.4172 0.010 8357
10900 -472.4136 0.010 8357
11000 -472.4115 0.010 8357
11100 -472.4102 0.010 8357
11200 -472.4099 0.010 8357
11300 -472.4096 0.010 8357
11400 -472.4092 0.010 8357
11500 -472.4087 0.010 8357
11600 -472.4086 0.010 8357
11700 -472.4082 0.010 8357
11800 -472.4080 0.010 8357
11900 -472.4078 0.010 8357
12000 -472.4075 0.010 8357
12100 -472.4074 0.010 8357
12200 -472.4073 0.010 8357
12300 -472.4068 0.010 8357
12400 -472.4066 0.010 8357
12500 -472.4065 0.010 8357
12600 -472.4064 0.010 8357
12700 -472.4060 0.010 8357
12800 -472.4059 0.010 8357
12900 -472.4058 0.010 8357
13000 -472.4057 0.010 8357
13100 -472.4056 0.010 8357
13200 -472.4056 0.010 8357
13300 -472.4056 0.010 8357
13400 -472.4055 0.010 8357
13500 -472.4054 0.010 8357
13600 -472.4054 0.010 8357
13700 -472.4054 0.010 8357
13800 -472.4053 0.010 8357
13900 -472.4052 0.010 8357
14000 -472.4052 0.010 8357
14100 -472.4048 0.010 8357
14200 -472.4048 0.010 8357
14300 -472.4047 0.010 8357
14400 -472.4045 0.010 8357
14500 -472.4045 0.010 8357
14600 -472.4045 0.010 8357
14700 -472.4045 0.010 8357
14800 -472.4045 0.010 8357
14900 -472.4045 0.010 8357
15000 -472.4044 0.010 8357
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
15100 -472.4042 0.010 8357
15200 -472.4042 0.010 8357
15300 -472.4041 0.010 8357
15400 -472.4041 0.010 8357
15500 -472.4039 0.010 8357
15600 -472.4039 0.010 8357
15700 -472.4036 0.010 8357
15800 -472.4036 0.010 8357
15900 -472.4034 0.010 8357
16000 -472.4034 0.010 8357
16100 -472.4032 0.010 8357
16200 -472.4031 0.010 8357
16300 -472.4031 0.010 8357
16400 -472.4031 0.010 8357
16500 -472.4030 0.010 8357
16600 -472.4028 0.010 8357
16700 -472.4028 0.010 8357
16800 -472.4027 0.010 8357
16900 -472.4027 0.010 8357
17000 -472.4026 0.010 8357
17100 -472.4026 0.010 8357
17200 -472.4025 0.010 8357
17300 -472.4025 0.010 8357
17400 -472.4024 0.010 8357
17500 -472.4022 0.010 8357
17600 -472.4022 0.010 8357
17700 -472.4022 0.010 8357
17800 -472.4021 0.010 8357
17900 -472.4020 0.010 8357
18000 -472.4020 0.010 8357
18100 -472.4020 0.010 8357
18200 -472.4020 0.010 8357
18300 -472.4019 0.010 8357
18400 -472.4018 0.010 8357
18500 -472.4018 0.010 8357
18600 -472.4017 0.010 8357
18700 -472.4015 0.010 8357
18800 -472.4014 0.010 8357
18900 -472.4014 0.010 8357
19000 -472.4014 0.010 8357
Reached termination condition!
last topological improvement at gen 8357
Improvement over last 500 gen = 0.00042
Current score = -472.4014
Performing final optimizations...
pass 1 : -472.4014 (branch= 0.0000)
pass 2 : -472.4014 (branch= 0.0000)
pass 3 : -472.3948 (branch= 0.0066)
pass 4 : -472.3919 (branch= 0.0029)
pass 5 : -472.3915 (branch= 0.0004)
pass 6 : -472.3915 (branch= 0.0000)
pass 7 : -472.3915 (branch= 0.0000)
pass 8 : -472.3912 (branch= 0.0003)
pass 9 : -472.3910 (branch= 0.0002)
pass 10: -472.3909 (branch= 0.0001)
pass 11: -472.3908 (branch= 0.0000)
pass 12: -472.3908 (branch= 0.0000)
pass 13: -472.3908 (branch= 0.0000)
Looking for minimum length branches...
Final score = -472.3908
Time used so far = 0 hours, 0 minutes and 50 seconds
MODEL REPORT - Parameter values are FINAL
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
8 branches were collapsed.
>>>Completed Search rep 1 (of 5)<<<
>>>Search rep 2 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Starting with seed=44926809
creating random starting tree...
Initial ln Likelihood: -1318.0450
optimizing: starting branch lengths...
pass 1:+ 430.059 (branch= 430.06 scale= 0.00)
pass 2:+ 43.968 (branch= 37.57 scale= 6.40)
pass 3:+ 15.540 (branch= 12.62 scale= 2.92)
pass 4:+ 13.620 (branch= 10.43 scale= 3.19)
pass 5:+ 2.101 (branch= 1.37 scale= 0.73)
pass 6:+ 0.440 (branch= 0.44 scale= 0.00)
lnL after optimization: -812.3165
gen current_lnL precision last_tree_imp
0 -812.3165 0.500 0
100 -631.8927 0.500 95
200 -515.5765 0.500 183
300 -513.6662 0.500 281
400 -495.7026 0.500 389
500 -489.8560 0.500 486
600 -487.9821 0.500 540
700 -487.2379 0.500 695
800 -477.6723 0.500 794
900 -477.1914 0.500 832
1000 -476.5205 0.500 982
1100 -475.5301 0.500 1044
1200 -475.2139 0.500 1044
1300 -474.8837 0.500 1044
1400 -474.6604 0.500 1044
1500 -474.3814 0.500 1044
1600 -474.1658 0.500 1044
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.079 lnL
1700 -473.9456 0.451 1044
1800 -473.8144 0.451 1044
1900 -473.6242 0.451 1883
2000 -473.2478 0.451 1883
2100 -473.1190 0.451 1883
2200 -473.0786 0.451 1883
2300 -473.0143 0.451 1883
2400 -472.9732 0.451 1883
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
2500 -472.9234 0.402 1883
2600 -472.8918 0.402 1883
2700 -472.8750 0.402 1883
2800 -472.8232 0.402 1883
2900 -472.8046 0.402 1883
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
3000 -472.7937 0.353 1883
3100 -472.7611 0.353 1883
3200 -472.7356 0.353 1883
3300 -472.7169 0.353 1883
3400 -472.7028 0.353 1883
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
3500 -472.6782 0.304 1883
3600 -472.6583 0.304 1883
3700 -472.6535 0.304 1883
3800 -472.6366 0.304 1883
3900 -472.6268 0.304 1883
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4000 -472.6163 0.255 1883
4100 -472.5964 0.255 1883
4200 -472.5787 0.255 1883
4300 -472.5698 0.255 1883
4400 -472.5472 0.255 1883
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4500 -472.5449 0.206 1883
4600 -472.5388 0.206 1883
4700 -472.5311 0.206 1883
4800 -472.5289 0.206 1883
4900 -472.5262 0.206 1883
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
5000 -472.5023 0.157 4939
5100 -472.4963 0.157 4939
5200 -472.4951 0.157 4939
5300 -472.4922 0.157 4939
5400 -472.4812 0.157 4939
5500 -472.4718 0.157 4939
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
5600 -472.4685 0.108 4939
5700 -472.4673 0.108 4939
5800 -472.4662 0.108 4939
5900 -472.4640 0.108 4939
6000 -472.4630 0.108 4939
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
6100 -472.4625 0.059 4939
6200 -472.4612 0.059 4939
6300 -472.4563 0.059 4939
6400 -472.4541 0.059 4939
6500 -472.4538 0.059 4939
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.038 lnL
6600 -472.4158 0.010 4939
6700 -472.4158 0.010 4939
6800 -472.4154 0.010 4939
6900 -472.4151 0.010 4939
7000 -472.4147 0.010 4939
7100 -472.4139 0.010 4939
7200 -472.4137 0.010 4939
7300 -472.4130 0.010 4939
7400 -472.4130 0.010 4939
7500 -472.4106 0.010 4939
7600 -472.4105 0.010 4939
7700 -472.4103 0.010 4939
7800 -472.4101 0.010 4939
7900 -472.4098 0.010 4939
8000 -472.4094 0.010 4939
8100 -472.4093 0.010 4939
8200 -472.4093 0.010 4939
8300 -472.4090 0.010 4939
8400 -472.4089 0.010 4939
8500 -472.4087 0.010 4939
8600 -472.4086 0.010 4939
8700 -472.4085 0.010 4939
8800 -472.4084 0.010 4939
8900 -472.4083 0.010 4939
9000 -472.4081 0.010 4939
9100 -472.4080 0.010 4939
9200 -472.4080 0.010 4939
9300 -472.4078 0.010 4939
9400 -472.4076 0.010 4939
9500 -472.4072 0.010 4939
9600 -472.4071 0.010 4939
9700 -472.4067 0.010 4939
9800 -472.4067 0.010 4939
9900 -472.4067 0.010 4939
10000 -472.4066 0.010 4939
10100 -472.4063 0.010 4939
10200 -472.4061 0.010 4939
10300 -472.4060 0.010 4939
10400 -472.4060 0.010 4939
10500 -472.4060 0.010 4939
10600 -472.4058 0.010 4939
10700 -472.4058 0.010 4939
10800 -472.4056 0.010 4939
10900 -472.4055 0.010 4939
11000 -472.4054 0.010 4939
11100 -472.4052 0.010 4939
11200 -472.4052 0.010 4939
11300 -472.4052 0.010 4939
11400 -472.4051 0.010 4939
11500 -472.4050 0.010 4939
11600 -472.4050 0.010 4939
11700 -472.4050 0.010 4939
11800 -472.4050 0.010 4939
11900 -472.4046 0.010 4939
12000 -472.4045 0.010 4939
12100 -472.4045 0.010 4939
12200 -472.4044 0.010 4939
12300 -472.4044 0.010 4939
12400 -472.4043 0.010 4939
12500 -472.4040 0.010 4939
12600 -472.4040 0.010 4939
12700 -472.4040 0.010 4939
12800 -472.4038 0.010 4939
12900 -472.4038 0.010 4939
13000 -472.4037 0.010 4939
13100 -472.4035 0.010 4939
13200 -472.4033 0.010 4939
13300 -472.4033 0.010 4939
13400 -472.4032 0.010 4939
13500 -472.4031 0.010 4939
13600 -472.4031 0.010 4939
13700 -472.4029 0.010 4939
13800 -472.4029 0.010 4939
13900 -472.4029 0.010 4939
14000 -472.4028 0.010 4939
14100 -472.4026 0.010 4939
14200 -472.4024 0.010 4939
14300 -472.4024 0.010 4939
14400 -472.4024 0.010 4939
14500 -472.4023 0.010 4939
14600 -472.4023 0.010 4939
14700 -472.4023 0.010 4939
14800 -472.4023 0.010 4939
14900 -472.4021 0.010 4939
15000 -472.4020 0.010 4939
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
15100 -472.4020 0.010 4939
15200 -472.4020 0.010 4939
15300 -472.4020 0.010 4939
15400 -472.4020 0.010 4939
15500 -472.4019 0.010 4939
15600 -472.4019 0.010 4939
15700 -472.4019 0.010 4939
15800 -472.4019 0.010 4939
15900 -472.4017 0.010 4939
16000 -472.4017 0.010 4939
16100 -472.4016 0.010 4939
16200 -472.4015 0.010 4939
16300 -472.4013 0.010 4939
16400 -472.4013 0.010 4939
16500 -472.4012 0.010 4939
16600 -472.4012 0.010 4939
Reached termination condition!
last topological improvement at gen 4939
Improvement over last 500 gen = 0.00046
Current score = -472.4012
Performing final optimizations...
pass 1 : -472.4012 (branch= 0.0000)
pass 2 : -472.4012 (branch= 0.0000)
pass 3 : -472.3949 (branch= 0.0063)
pass 4 : -472.3918 (branch= 0.0031)
pass 5 : -472.3913 (branch= 0.0005)
pass 6 : -472.3912 (branch= 0.0002)
pass 7 : -472.3911 (branch= 0.0001)
pass 8 : -472.3910 (branch= 0.0001)
pass 9 : -472.3908 (branch= 0.0002)
pass 10: -472.3907 (branch= 0.0001)
pass 11: -472.3906 (branch= 0.0000)
pass 12: -472.3906 (branch= 0.0000)
pass 13: -472.3906 (branch= 0.0000)
Looking for minimum length branches...
Final score = -472.3906
Time used so far = 0 hours, 1 minutes and 34 seconds
MODEL REPORT - Parameter values are FINAL
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
7 branches were collapsed.
>>>Completed Search rep 2 (of 5)<<<
>>>Search rep 3 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Starting with seed=1129809455
creating random starting tree...
Initial ln Likelihood: -1345.1873
optimizing: starting branch lengths...
pass 1:+ 462.206 (branch= 460.91 scale= 1.29)
pass 2:+ 46.315 (branch= 41.48 scale= 4.84)
pass 3:+ 8.901 (branch= 7.46 scale= 1.45)
pass 4:+ 0.399 (branch= 0.40 scale= 0.00)
lnL after optimization: -827.3663
gen current_lnL precision last_tree_imp
0 -827.3663 0.500 0
100 -554.0794 0.500 97
200 -519.0429 0.500 200
300 -495.8588 0.500 299
400 -491.6494 0.500 383
500 -489.6575 0.500 486
600 -485.5977 0.500 553
700 -484.4369 0.500 665
800 -483.6662 0.500 791
900 -483.1040 0.500 791
1000 -482.5508 0.500 947
1100 -481.4178 0.500 1088
1200 -479.8625 0.500 1193
1300 -478.7363 0.500 1277
1400 -477.3675 0.500 1379
1500 -476.5981 0.500 1469
1600 -476.2200 0.500 1469
1700 -475.8149 0.500 1469
1800 -475.6773 0.500 1469
1900 -475.5862 0.500 1892
2000 -475.0435 0.500 1953
2100 -474.6464 0.500 2047
2200 -474.5245 0.500 2047
2300 -474.2834 0.500 2047
2400 -474.1793 0.500 2047
2500 -474.0827 0.500 2047
2600 -474.0282 0.500 2047
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.003 lnL
2700 -473.8768 0.451 2047
2800 -473.8100 0.451 2047
2900 -473.7925 0.451 2047
3000 -473.7515 0.451 2963
3100 -473.6539 0.451 2963
3200 -473.6069 0.451 2963
3300 -473.5546 0.451 2963
3400 -473.4800 0.451 2963
3500 -473.4100 0.451 2963
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.017 lnL
3600 -473.3227 0.402 2963
3700 -473.2814 0.402 2963
3800 -473.2520 0.402 2963
3900 -473.2171 0.402 2963
4000 -473.1817 0.402 2963
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4100 -473.1732 0.353 2963
4200 -473.1482 0.353 2963
4300 -473.1308 0.353 2963
4400 -473.1219 0.353 2963
4500 -473.1118 0.353 2963
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4600 -473.1050 0.304 2963
4700 -473.1015 0.304 2963
4800 -473.0905 0.304 2963
4900 -473.0630 0.304 4831
5000 -473.0574 0.304 4831
5100 -473.0441 0.304 4831
5200 -473.0302 0.304 4831
5300 -473.0260 0.304 4831
5400 -473.0225 0.304 4831
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
5500 -473.0122 0.255 4831
5600 -473.0074 0.255 4831
5700 -473.0044 0.255 4831
5800 -472.9855 0.255 5743
5900 -472.9802 0.255 5743
6000 -472.9770 0.255 5743
6100 -472.9697 0.255 5743
6200 -472.9691 0.255 5743
6300 -472.9684 0.255 5743
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
6400 -472.9103 0.206 6363
6500 -472.7831 0.206 6363
6600 -472.7122 0.206 6363
6700 -472.6699 0.206 6363
6800 -472.6517 0.206 6363
6900 -472.6270 0.206 6363
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
7000 -472.6085 0.157 6363
7100 -472.6020 0.157 6363
7200 -472.5927 0.157 6363
7300 -472.5865 0.157 6363
7400 -472.5660 0.157 6363
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.017 lnL
7500 -472.5448 0.108 6363
7600 -472.5350 0.108 6363
7700 -472.5283 0.108 6363
7800 -472.5265 0.108 6363
7900 -472.5211 0.108 6363
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
8000 -472.4754 0.059 7923
8100 -472.4617 0.059 7923
8200 -472.4586 0.059 7923
8300 -472.4552 0.059 7923
8400 -472.4521 0.059 7923
8500 -472.4492 0.059 7923
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.017 lnL
8600 -472.4288 0.010 7923
8700 -472.4266 0.010 7923
8800 -472.4230 0.010 7923
8900 -472.4226 0.010 7923
9000 -472.4214 0.010 7923
9100 -472.4198 0.010 7923
9200 -472.4185 0.010 7923
9300 -472.4181 0.010 7923
9400 -472.4177 0.010 7923
9500 -472.4175 0.010 7923
9600 -472.4173 0.010 7923
9700 -472.4160 0.010 7923
9800 -472.4160 0.010 7923
9900 -472.4160 0.010 7923
10000 -472.4155 0.010 7923
10100 -472.4152 0.010 7923
10200 -472.4148 0.010 7923
10300 -472.4145 0.010 7923
10400 -472.4140 0.010 7923
10500 -472.4138 0.010 7923
10600 -472.4138 0.010 7923
10700 -472.4137 0.010 7923
10800 -472.4132 0.010 7923
10900 -472.4130 0.010 7923
11000 -472.4125 0.010 7923
11100 -472.4124 0.010 7923
11200 -472.4123 0.010 7923
11300 -472.4121 0.010 7923
11400 -472.4121 0.010 7923
11500 -472.4118 0.010 7923
11600 -472.4115 0.010 7923
11700 -472.4114 0.010 7923
11800 -472.4114 0.010 7923
11900 -472.4114 0.010 7923
12000 -472.4112 0.010 7923
12100 -472.4108 0.010 7923
12200 -472.4106 0.010 7923
12300 -472.4106 0.010 7923
12400 -472.4102 0.010 7923
12500 -472.4102 0.010 7923
12600 -472.4101 0.010 7923
12700 -472.4100 0.010 7923
12800 -472.4100 0.010 7923
12900 -472.4100 0.010 7923
13000 -472.4099 0.010 7923
13100 -472.4096 0.010 7923
13200 -472.4094 0.010 7923
13300 -472.4094 0.010 7923
13400 -472.4092 0.010 7923
13500 -472.4091 0.010 7923
13600 -472.4088 0.010 7923
13700 -472.4086 0.010 7923
13800 -472.4086 0.010 7923
13900 -472.4084 0.010 7923
14000 -472.4084 0.010 7923
14100 -472.4083 0.010 7923
14200 -472.4081 0.010 7923
14300 -472.4081 0.010 7923
14400 -472.4076 0.010 7923
14500 -472.4075 0.010 7923
14600 -472.4074 0.010 7923
14700 -472.4073 0.010 7923
14800 -472.4073 0.010 7923
14900 -472.4073 0.010 7923
15000 -472.4072 0.010 7923
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
15100 -472.4072 0.010 7923
15200 -472.4070 0.010 7923
15300 -472.4070 0.010 7923
15400 -472.4069 0.010 7923
15500 -472.4067 0.010 7923
15600 -472.4066 0.010 7923
15700 -472.4066 0.010 7923
15800 -472.4065 0.010 7923
15900 -472.4064 0.010 7923
16000 -472.4064 0.010 7923
16100 -472.4063 0.010 7923
16200 -472.4063 0.010 7923
16300 -472.4063 0.010 7923
16400 -472.4062 0.010 7923
16500 -472.4061 0.010 7923
16600 -472.4061 0.010 7923
16700 -472.4061 0.010 7923
16800 -472.4061 0.010 7923
16900 -472.4061 0.010 7923
17000 -472.4060 0.010 7923
17100 -472.4058 0.010 7923
17200 -472.4058 0.010 7923
17300 -472.4058 0.010 7923
17400 -472.4058 0.010 7923
17500 -472.4057 0.010 7923
17600 -472.4057 0.010 7923
17700 -472.4055 0.010 7923
17800 -472.4055 0.010 7923
17900 -472.4052 0.010 7923
18000 -472.4048 0.010 7923
18100 -472.4048 0.010 7923
18200 -472.4048 0.010 7923
18300 -472.4047 0.010 7923
18400 -472.4047 0.010 7923
18500 -472.4046 0.010 7923
18600 -472.4046 0.010 7923
Reached termination condition!
last topological improvement at gen 7923
Improvement over last 500 gen = 0.00024
Current score = -472.4046
Performing final optimizations...
pass 1 : -472.4046 (branch= 0.0000)
pass 2 : -472.4046 (branch= 0.0000)
pass 3 : -472.3930 (branch= 0.0116)
pass 4 : -472.3918 (branch= 0.0012)
pass 5 : -472.3912 (branch= 0.0006)
pass 6 : -472.3912 (branch= 0.0000)
pass 7 : -472.3910 (branch= 0.0002)
pass 8 : -472.3909 (branch= 0.0001)
pass 9 : -472.3908 (branch= 0.0001)
pass 10: -472.3907 (branch= 0.0001)
pass 11: -472.3906 (branch= 0.0001)
pass 12: -472.3906 (branch= 0.0000)
pass 13: -472.3906 (branch= 0.0000)
pass 14: -472.3906 (branch= 0.0000)
Looking for minimum length branches...
Final score = -472.3906
Time used so far = 0 hours, 2 minutes and 22 seconds
MODEL REPORT - Parameter values are FINAL
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
7 branches were collapsed.
>>>Completed Search rep 3 (of 5)<<<
>>>Search rep 4 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Starting with seed=1786917786
creating random starting tree...
Initial ln Likelihood: -1259.6816
optimizing: starting branch lengths...
pass 1:+ 411.545 (branch= 410.14 scale= 1.40)
pass 2:+ 34.424 (branch= 31.96 scale= 2.47)
pass 3:+ 4.884 (branch= 4.25 scale= 0.63)
pass 4:+ 1.721 (branch= 1.72 scale= 0.00)
pass 5:+ 0.047 (branch= 0.05 scale= 0.00)
lnL after optimization: -807.0589
gen current_lnL precision last_tree_imp
0 -807.0589 0.500 0
100 -601.5939 0.500 100
200 -526.3617 0.500 196
300 -512.4135 0.500 278
400 -483.5238 0.500 390
500 -481.4931 0.500 471
600 -481.0061 0.500 471
700 -480.0821 0.500 683
800 -477.5502 0.500 729
900 -477.1062 0.500 729
1000 -476.7058 0.500 729
1100 -476.2214 0.500 729
1200 -475.8903 0.500 729
1300 -475.6326 0.500 1292
1400 -475.4871 0.500 1292
1500 -475.3881 0.500 1292
1600 -475.1881 0.500 1598
1700 -474.9285 0.500 1598
1800 -474.7453 0.500 1598
1900 -474.6094 0.500 1887
2000 -474.5233 0.500 1887
2100 -474.4728 0.500 2088
2200 -474.4253 0.500 2088
2300 -474.3405 0.500 2088
2400 -474.2962 0.500 2088
2500 -474.2187 0.500 2088
2600 -474.1912 0.500 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.001 lnL
2700 -474.1788 0.451 2088
2800 -474.1712 0.451 2088
2900 -474.1538 0.451 2088
3000 -474.1458 0.451 2088
3100 -474.1336 0.451 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.001 lnL
3200 -474.1318 0.402 2088
3300 -474.1252 0.402 2088
3400 -474.1154 0.402 2088
3500 -474.1050 0.402 2088
3600 -474.0923 0.402 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
3700 -474.0853 0.353 2088
3800 -474.0781 0.353 2088
3900 -474.0710 0.353 2088
4000 -474.0676 0.353 2088
4100 -474.0557 0.353 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4200 -474.0534 0.304 2088
4300 -474.0477 0.304 2088
4400 -474.0391 0.304 2088
4500 -474.0353 0.304 2088
4600 -474.0334 0.304 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4700 -474.0283 0.255 2088
4800 -474.0282 0.255 2088
4900 -474.0262 0.255 2088
5000 -474.0228 0.255 2088
5100 -474.0183 0.255 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
5200 -474.0155 0.206 2088
5300 -474.0118 0.206 2088
5400 -474.0089 0.206 2088
5500 -474.0077 0.206 2088
5600 -474.0053 0.206 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
5700 -474.0043 0.157 2088
5800 -474.0024 0.157 2088
5900 -474.0009 0.157 2088
6000 -474.0001 0.157 2088
6100 -473.9987 0.157 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
6200 -473.9969 0.108 2088
6300 -473.9937 0.108 2088
6400 -473.9927 0.108 2088
6500 -473.9916 0.108 2088
6600 -473.9905 0.108 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
6700 -473.9882 0.059 2088
6800 -473.9871 0.059 2088
6900 -473.9863 0.059 2088
7000 -473.9859 0.059 2088
7100 -473.9843 0.059 2088
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.042 lnL
7200 -473.9424 0.010 2088
7300 -473.9419 0.010 2088
7400 -473.9416 0.010 2088
7500 -473.9414 0.010 2088
7600 -473.9411 0.010 2088
7700 -473.9398 0.010 2088
7800 -473.9393 0.010 2088
7900 -473.9384 0.010 2088
8000 -473.9377 0.010 2088
8100 -473.9376 0.010 2088
8200 -473.9352 0.010 2088
8300 -473.9337 0.010 2088
8400 -473.9331 0.010 2088
8500 -473.9321 0.010 2088
8600 -473.9303 0.010 2088
8700 -473.8109 0.010 8647
8800 -473.7338 0.010 8717
8900 -473.6620 0.010 8717
9000 -473.6447 0.010 8717
9100 -473.6360 0.010 8717
9200 -473.6289 0.010 8717
9300 -473.6274 0.010 8717
9400 -473.6244 0.010 8717
9500 -473.6190 0.010 8717
9600 -473.6187 0.010 8717
9700 -473.6164 0.010 8717
9800 -473.6158 0.010 8717
9900 -473.6154 0.010 8717
10000 -473.6148 0.010 8717
10100 -473.6148 0.010 8717
10200 -473.6146 0.010 8717
10300 -473.6141 0.010 8717
10400 -473.6141 0.010 8717
10500 -473.6139 0.010 8717
10600 -473.6138 0.010 8717
10700 -473.6136 0.010 8717
10800 -473.6134 0.010 8717
10900 -473.6134 0.010 8717
11000 -473.6132 0.010 8717
11100 -473.6132 0.010 8717
11200 -473.6130 0.010 8717
11300 -473.6129 0.010 8717
11400 -473.6129 0.010 8717
11500 -473.6128 0.010 8717
11600 -473.6128 0.010 8717
11700 -473.6126 0.010 8717
11800 -473.6124 0.010 8717
11900 -473.6124 0.010 8717
12000 -473.6122 0.010 8717
12100 -473.6122 0.010 8717
12200 -473.6122 0.010 8717
12300 -473.6122 0.010 8717
12400 -473.6121 0.010 8717
12500 -473.6120 0.010 8717
12600 -473.6119 0.010 8717
12700 -473.6119 0.010 8717
12800 -473.6119 0.010 8717
12900 -473.6118 0.010 8717
13000 -473.6118 0.010 8717
13100 -473.6118 0.010 8717
13200 -473.6117 0.010 8717
13300 -473.6116 0.010 8717
13400 -473.6116 0.010 8717
13500 -473.6115 0.010 8717
13600 -473.6113 0.010 8717
13700 -473.6113 0.010 8717
13800 -473.6113 0.010 8717
13900 -473.6112 0.010 8717
14000 -473.6112 0.010 8717
14100 -473.6112 0.010 8717
14200 -473.6112 0.010 8717
14300 -473.6109 0.010 8717
14400 -473.6108 0.010 8717
14500 -473.6107 0.010 8717
14600 -473.6106 0.010 8717
14700 -473.6106 0.010 8717
14800 -473.6106 0.010 8717
14900 -473.6105 0.010 8717
15000 -473.6105 0.010 8717
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
15100 -473.6104 0.010 8717
15200 -473.6104 0.010 8717
15300 -473.6101 0.010 8717
15400 -473.6101 0.010 8717
15500 -473.6100 0.010 8717
15600 -473.6100 0.010 8717
15700 -473.6099 0.010 8717
15800 -473.6098 0.010 8717
15900 -473.6098 0.010 8717
16000 -473.6098 0.010 8717
16100 -473.6098 0.010 8717
16200 -473.6098 0.010 8717
16300 -473.6097 0.010 8717
16400 -473.6097 0.010 8717
16500 -473.6097 0.010 8717
16600 -473.6096 0.010 8717
16700 -473.6096 0.010 8717
16800 -473.6095 0.010 8717
16900 -473.6094 0.010 8717
17000 -473.6093 0.010 8717
17100 -473.6093 0.010 8717
17200 -473.6092 0.010 8717
17300 -473.6091 0.010 8717
17400 -473.6091 0.010 8717
17500 -473.6090 0.010 8717
17600 -473.6089 0.010 8717
17700 -473.6089 0.010 8717
17800 -473.6089 0.010 8717
17900 -473.6088 0.010 8717
18000 -473.6088 0.010 8717
18100 -473.6088 0.010 8717
18200 -473.6087 0.010 8717
18300 -473.6087 0.010 8717
18400 -473.6086 0.010 8717
18500 -473.6086 0.010 8717
18600 -473.6084 0.010 8717
18700 -473.6084 0.010 8717
18800 -473.6084 0.010 8717
Reached termination condition!
last topological improvement at gen 8717
Improvement over last 500 gen = 0.00033
Current score = -473.6084
Performing final optimizations...
pass 1 : -473.6084 (branch= 0.0000)
pass 2 : -473.6084 (branch= 0.0000)
pass 3 : -473.5997 (branch= 0.0087)
pass 4 : -473.5967 (branch= 0.0030)
pass 5 : -473.5967 (branch= 0.0000)
pass 6 : -473.5967 (branch= 0.0000)
pass 7 : -473.5967 (branch= 0.0000)
pass 8 : -473.5966 (branch= 0.0001)
pass 9 : -473.5966 (branch= 0.0001)
pass 10: -473.5964 (branch= 0.0001)
pass 11: -473.5964 (branch= 0.0001)
pass 12: -473.5964 (branch= 0.0000)
Looking for minimum length branches...
Final score = -473.5964
Time used so far = 0 hours, 3 minutes and 11 seconds
MODEL REPORT - Parameter values are FINAL
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
7 branches were collapsed.
>>>Completed Search rep 4 (of 5)<<<
>>>Search rep 5 (of 5)<<<
MODEL REPORT - Parameters are at their INITIAL values (not yet optimized)
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Starting with seed=1429655032
creating random starting tree...
Initial ln Likelihood: -1219.3334
optimizing: starting branch lengths...
pass 1:+ 350.904 (branch= 350.90 scale= 0.00)
pass 2:+ 56.702 (branch= 53.13 scale= 3.58)
pass 3:+ 20.452 (branch= 17.31 scale= 3.14)
pass 4:+ 3.274 (branch= 2.54 scale= 0.73)
pass 5:+ 2.093 (branch= 1.31 scale= 0.78)
pass 6:+ 1.698 (branch= 1.70 scale= 0.00)
pass 7:+ 0.095 (branch= 0.09 scale= 0.00)
lnL after optimization: -784.1160
gen current_lnL precision last_tree_imp
0 -784.1160 0.500 0
100 -593.8019 0.500 100
200 -533.4957 0.500 192
300 -516.5071 0.500 287
400 -508.1399 0.500 397
500 -489.8206 0.500 499
600 -483.5815 0.500 564
700 -480.9720 0.500 670
800 -480.2684 0.500 773
900 -479.5095 0.500 773
1000 -479.1002 0.500 773
1100 -478.7379 0.500 773
1200 -478.3594 0.500 773
1300 -477.9320 0.500 773
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.244 lnL
1400 -477.3303 0.451 773
1500 -476.9782 0.451 1469
1600 -476.6121 0.451 1469
1700 -476.4869 0.451 1469
1800 -476.4165 0.451 1469
1900 -476.2181 0.451 1469
2000 -476.1044 0.451 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.001 lnL
2100 -475.8182 0.402 1469
2200 -475.6823 0.402 1469
2300 -475.5295 0.402 1469
2400 -475.4160 0.402 1469
2500 -475.3457 0.402 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.002 lnL
2600 -475.3139 0.353 1469
2700 -475.2752 0.353 1469
2800 -475.2199 0.353 1469
2900 -475.1825 0.353 1469
3000 -475.1627 0.353 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
3100 -475.1412 0.304 1469
3200 -475.1168 0.304 1469
3300 -475.0961 0.304 1469
3400 -475.0782 0.304 1469
3500 -475.0663 0.304 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
3600 -475.0616 0.255 1469
3700 -474.8098 0.255 1469
3800 -474.7550 0.255 1469
3900 -474.7510 0.255 1469
4000 -474.7427 0.255 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4100 -474.7305 0.206 1469
4200 -474.7217 0.206 1469
4300 -474.7104 0.206 1469
4400 -474.7037 0.206 1469
4500 -474.7028 0.206 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
4600 -474.7019 0.157 1469
4700 -474.6963 0.157 1469
4800 -474.6919 0.157 1469
4900 -474.6899 0.157 1469
5000 -474.6870 0.157 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
5100 -474.6848 0.108 1469
5200 -474.6823 0.108 1469
5300 -474.6807 0.108 1469
5400 -474.6786 0.108 1469
5500 -474.6774 0.108 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
5600 -474.6750 0.059 1469
5700 -474.6731 0.059 1469
5800 -474.6718 0.059 1469
5900 -474.6693 0.059 1469
6000 -474.6675 0.059 1469
Optimization precision reduced
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.043 lnL
6100 -474.6238 0.010 1469
6200 -474.6194 0.010 1469
6300 -474.6183 0.010 1469
6400 -474.6182 0.010 1469
6500 -474.6179 0.010 1469
6600 -474.6176 0.010 1469
6700 -474.6174 0.010 1469
6800 -474.6173 0.010 1469
6900 -474.6170 0.010 1469
7000 -474.6139 0.010 1469
7100 -474.6139 0.010 1469
7200 -474.6136 0.010 1469
7300 -474.6131 0.010 1469
7400 -474.6126 0.010 1469
7500 -474.6123 0.010 1469
7600 -474.6120 0.010 1469
7700 -474.6117 0.010 1469
7800 -474.6116 0.010 1469
7900 -474.6115 0.010 1469
8000 -474.6113 0.010 1469
8100 -474.6108 0.010 1469
8200 -474.6105 0.010 1469
8300 -474.6100 0.010 1469
8400 -474.6099 0.010 1469
8500 -474.6092 0.010 1469
8600 -474.6088 0.010 1469
8700 -474.6088 0.010 1469
8800 -474.6086 0.010 1469
8900 -474.6084 0.010 1469
9000 -474.6081 0.010 1469
9100 -474.6079 0.010 1469
9200 -474.6076 0.010 1469
9300 -474.6076 0.010 1469
9400 -474.6076 0.010 1469
9500 -474.6072 0.010 1469
9600 -474.6070 0.010 1469
9700 -474.6067 0.010 1469
9800 -474.6067 0.010 1469
9900 -474.6065 0.010 1469
10000 -474.6064 0.010 1469
10100 -474.6064 0.010 1469
10200 -474.6062 0.010 1469
10300 -474.6062 0.010 1469
10400 -474.6062 0.010 1469
10500 -474.6062 0.010 1469
10600 -474.6061 0.010 1469
10700 -474.6061 0.010 1469
10800 -474.6061 0.010 1469
10900 -474.6060 0.010 1469
11000 -474.6060 0.010 1469
11100 -474.6060 0.010 1469
11200 -474.6060 0.010 1469
11300 -474.6060 0.010 1469
11400 -474.6059 0.010 1469
11500 -474.6058 0.010 1469
11600 -474.6057 0.010 1469
11700 -474.6057 0.010 1469
11800 -474.6057 0.010 1469
11900 -474.6057 0.010 1469
12000 -474.6056 0.010 1469
12100 -474.6056 0.010 1469
12200 -474.6056 0.010 1469
12300 -474.6055 0.010 1469
12400 -474.6055 0.010 1469
12500 -474.6055 0.010 1469
12600 -474.6055 0.010 1469
12700 -474.6055 0.010 1469
12800 -474.6054 0.010 1469
12900 -474.6054 0.010 1469
13000 -474.6052 0.010 1469
13100 -474.6050 0.010 1469
13200 -474.6050 0.010 1469
13300 -474.6049 0.010 1469
13400 -474.6048 0.010 1469
13500 -474.6048 0.010 1469
13600 -474.6046 0.010 1469
13700 -474.6042 0.010 1469
13800 -474.6040 0.010 1469
13900 -474.6040 0.010 1469
14000 -474.6039 0.010 1469
14100 -474.6039 0.010 1469
14200 -474.6039 0.010 1469
14300 -474.6038 0.010 1469
14400 -474.6035 0.010 1469
14500 -474.6034 0.010 1469
14600 -474.6033 0.010 1469
14700 -474.6032 0.010 1469
14800 -474.6030 0.010 1469
14900 -474.6030 0.010 1469
15000 -474.6028 0.010 1469
Optimizing parameters... improved 0.000 lnL
Optimizing branchlengths... improved 0.000 lnL
15100 -474.6028 0.010 1469
15200 -474.6028 0.010 1469
15300 -474.6027 0.010 1469
15400 -474.6027 0.010 1469
15500 -474.6027 0.010 1469
15600 -474.6026 0.010 1469
15700 -474.6025 0.010 1469
15800 -474.6024 0.010 1469
15900 -474.6024 0.010 1469
16000 -474.6023 0.010 1469
16100 -474.6022 0.010 1469
Reached termination condition!
last topological improvement at gen 1469
Improvement over last 500 gen = 0.00041
Current score = -474.6022
Performing final optimizations...
pass 1 : -474.6022 (branch= 0.0000)
pass 2 : -474.5995 (branch= 0.0027)
pass 3 : -474.5871 (branch= 0.0124)
pass 4 : -474.5871 (branch= 0.0000)
pass 5 : -474.5868 (branch= 0.0003)
pass 6 : -474.5866 (branch= 0.0001)
pass 7 : -474.5864 (branch= 0.0002)
pass 8 : -474.5862 (branch= 0.0002)
pass 9 : -474.5861 (branch= 0.0002)
pass 10: -474.5860 (branch= 0.0000)
pass 11: -474.5860 (branch= 0.0000)
pass 12: -474.5860 (branch= 0.0000)
pass 13: -474.5860 (branch= 0.0000)
Looking for minimum length branches...
Final score = -474.5860
Time used = 0 hours, 3 minutes and 54 seconds
MODEL REPORT - Parameter values are FINAL
Model 1
Number of states = 2 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.50, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 2
Number of states = 3 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.33, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
Model 3
Number of states = 4 (standard data)
Character change matrix:
One rate (symmetric one rate Mkv model)
Equilibrium State Frequencies: equal (0.25, fixed)
Rate Heterogeneity Model:
no rate heterogeneity
NOTE: Collapsing of minimum length branches was requested (collapsebranches = 1)
7 branches were collapsed.
>>>Completed Search rep 5 (of 5)<<<
#######################################################
Completed 5 replicate search(es) (of 5).
NOTE: Unless the following output indicates that search replicates found the
same topology, you should assume that they found different topologies.
Results:
Replicate 1 : -472.3908
Replicate 2 : -472.3906
Replicate 3 : -472.3906 (best) (same topology as 2)
Replicate 4 : -473.5964
Replicate 5 : -474.5860
Parameter estimates across search replicates:
Partition model subset 1:
Model contains no estimated parameters
Partition model subset 2:
Model contains no estimated parameters
Partition model subset 3:
Model contains no estimated parameters
Treelengths:
TL
rep 1: 3.623
rep 2: 3.622
rep 3: 3.621
rep 4: 3.807
rep 5: 3.572
Saving final trees from all search reps to mkv.best.all.tre
Saving final tree from best search rep (#3) to mkv.best.tre
#######################################################
|