Filename: SECR_Wojan_MultiSession_v7_1_20140707_out.txt ################################################################################################## ### Input settings ################################################################################################## Disperer Set = 3 BufferSize (meters) = 75 Area.S.Hectares= 16.452 Area.S1.Hectares= 4.95 Area.S2.Hectares= 11.502 DispBuffer (meters) = 20 KeepSessions = 1 2 3 5 6 7 8 9 10 11 12 13 14 15 20 21 22 23 24 Prior Density (per hectare), M.density.ha = 100 Prior on sigma = 300 ################################################################################################## ### Dispersers ################################################################################################## ID distance natalX natalY natalsession settlesession Region set 1 601 179.2277165 574133 4263049 1 3 2 1 2 576 20.4710357 574146 4263035 1 2 2 1 3 1195 5.8309519 574108 4261967 6 7 1 1 4 1203 0.4228918 574052 4261932 6 7 1 1 5 1154 46.5295605 574115 4263057 6 7 2 1 6 1354 9.7509364 574203 4262853 7 8 2 1 7 1401 8.0000000 574107 4261924 7 9 1 1 8 1405 55.9464029 574143 4263059 7 10 2 1 9 1493 18.6815417 574143 4263059 7 8 2 1 10 2535 9.5599704 574107 4261924 8 10 1 1 11 2669 33.9065364 574143 4263059 9 11 2 1 12 2638 39.4588393 574131 4263016 9 11 2 1 13 2625 8.0000000 574115 4263057 9 11 2 1 14 3113 36.4278788 574051 4261945 15 17 1 1 15 3274 16.6463859 574111 4261964 15 18 1 1 16 3253 20.5899312 574131 4261957 16 17 1 1 17 576 1.5620499 574135 4263043 1 2 2 2 18 951_953 9.7227182 574161 4263064 4 5 2 2 19 1026_1027 5.8309519 574173 4262884 5 6 2 2 20 1134 19.3032610 574203 4262853 5 6 2 2 21 1143 2.7624101 574090 4261960 5 6 1 2 22 1181 19.9363208 574128 4263069 6 7 2 2 23 1195_1196 11.1803399 574124 4261968 6 7 1 2 24 1154 21.2401189 574125 4263055 6 7 2 2 25 1163_1162 13.4629120 574143 4263059 6 8 2 2 26 1166_1167 0.0000000 574158 4262878 6 7 2 2 27 1178_1330 21.1009478 574136 4263092 6 7 2 2 28 1296_1297 2.6877459 574158 4262878 6 7 2 2 29 1301 13.0384048 574090 4261960 7 8 1 2 30 1397_1317 0.0000000 574077 4261959 7 8 1 2 31 1354 0.0000000 574203 4262853 7 8 2 2 32 1405 40.7410171 574143 4263059 7 8 2 2 33 1401_1402 0.0000000 574107 4261932 7 9 1 2 34 1419_1420 0.0000000 574097 4261967 7 9 1 2 35 2531_2532 26.4007576 574158 4262878 8 10 2 2 36 2630 20.2484567 574086 4261984 8 11 1 2 37 2638_2637 11.9504184 574133 4263049 8 11 2 2 38 2669_2670 15.3481132 574136 4263092 9 11 2 2 39 2625 32.8071548 574103 4263072 9 11 2 2 40 2612_2614 20.5548048 574105 4261991 9 10 1 2 41 2763_2764 2.9154759 574085 4261919 9 11 1 2 42 2685 31.0644491 574094 4261933 10 11 1 2 43 2863_2864 19.4164878 574185 4262904 10 11 2 2 44 2833 4.6647615 574085 4261919 11 14 1 2 45 2894 14.1421356 574161 4263064 11 12 2 2 46 1712 7.1589105 574210 4262923 12 13 2 2 47 1669_1856 17.9746458 574148 4263068 12 14 2 2 48 1806_1838 5.2153619 574103 4261959 12 14 1 2 49 1826_1830 10.6383000 574090 4261960 12 14 1 2 50 1921_1977 26.5397815 574128 4263069 14 14 2 2 51 3253_3254 18.9736660 574118 4261950 15 17 1 2 52 3274 33.5737993 574105 4261991 15 19 1 2 53 3326 16.2788206 574097 4261967 18 19 1 2 ################################################################################################## ### Summary output ################################################################################################## Inference for Bugs model at "SECR_Wojan_MultiSession_v7_1.txt", fit using jags, 3 chains, each with 11000 iterations (first 1000 discarded), n.thin = 10 n.sims = 3000 iterations saved mu.vect sd.vect 2.5% 25% 50% 75% 97.5% Rhat n.eff Beta.N1 -0.351 0.427 -1.108 -0.626 -0.376 -0.118 0.605 1.001 2400 Beta.N1.NoOut -0.382 0.211 -0.815 -0.512 -0.370 -0.244 0.021 1.002 1000 Beta.N2 -0.189 0.105 -0.396 -0.260 -0.192 -0.119 0.024 1.001 3000 DensChangeDisp[1] -6.273 11.533 -31.831 -15.915 -7.958 0.000 15.915 1.001 3000 DensChangeDisp[2] 14.963 17.664 -15.915 0.000 15.915 23.873 47.746 1.001 3000 DensChangeDisp[3] 3.783 12.791 -23.873 -7.958 0.000 15.915 31.831 1.001 3000 DensChangeDisp[4] -31.131 23.330 -79.577 -47.746 -31.831 -15.915 15.915 1.003 880 DensChangeDisp[5] -4.796 12.048 -31.831 -15.915 0.000 0.000 15.915 1.001 3000 DensChangeDisp[6] 15.213 12.320 -7.958 7.958 15.915 23.873 39.789 1.002 1200 DensChangeDisp[7] 23.603 14.051 -7.958 15.915 23.873 31.831 47.746 1.001 3000 DensChangeDisp[8] 15.199 11.003 -7.958 7.958 15.915 23.873 39.789 1.002 3000 DensChangeDisp[9] 19.629 9.605 0.000 15.915 15.915 23.873 39.789 1.001 3000 DensChangeDisp[10] 3.679 12.407 -23.873 -7.958 0.000 7.958 23.873 1.001 3000 DensChangeDisp[11] 12.340 13.551 -15.915 0.000 15.915 23.873 39.789 1.001 3000 DensChangeDisp[12] 28.555 15.940 -7.958 15.915 31.831 39.789 55.704 1.002 1700 DensChangeDisp[13] 16.183 11.908 -7.958 7.958 15.915 23.873 39.789 1.001 3000 DensChangeDisp[14] -4.512 23.457 -47.746 -23.873 -7.958 7.958 39.789 1.001 2600 DensChangeDisp[15] 6.364 11.042 -15.915 0.000 7.958 15.915 31.831 1.001 3000 DensChangeDisp[16] -17.939 14.980 -47.746 -23.873 -15.915 -7.958 7.958 1.001 3000 DensChangeDisp[17] 10.860 14.314 -15.915 0.000 7.958 15.915 39.789 1.001 3000 DensChangeDisp[18] 1.700 11.864 -23.873 -7.958 0.000 7.958 23.873 1.002 1800 DensChangeDisp[19] 21.619 13.239 -7.958 15.915 23.873 31.831 47.746 1.001 2700 DensChangeDisp[20] 12.788 14.179 -15.915 0.000 15.915 23.873 39.789 1.002 1800 DensChangeDisp[21] 1.822 13.284 -23.873 -7.958 0.000 7.958 31.831 1.002 1200 DensChangeDisp[22] -8.064 9.039 -23.873 -15.915 -7.958 0.000 7.958 1.001 2100 DensChangeDisp[23] -5.555 14.331 -31.831 -15.915 -7.958 7.958 23.873 1.001 3000 DensChangeDisp[24] -13.823 9.406 -31.831 -15.915 -15.915 -7.958 7.958 1.001 3000 DensChangeDisp[25] 7.345 12.706 -15.915 0.000 7.958 15.915 31.831 1.001 3000 DensChangeDisp[26] -1.780 14.354 -31.831 -7.958 0.000 7.958 23.873 1.001 3000 DensChangeDisp[27] -6.249 8.735 -23.873 -7.958 -7.958 0.000 7.958 1.001 3000 DensChangeDisp[28] -5.289 14.434 -31.831 -15.915 -7.958 7.958 23.873 1.001 3000 DensChangeDisp[29] 1.507 12.060 -23.873 -7.958 0.000 7.958 23.873 1.001 3000 DensChangeDisp[30] 6.578 12.412 -15.915 0.000 7.958 15.915 31.831 1.001 3000 DensChangeDisp[31] 16.250 10.956 -7.958 7.958 15.915 23.873 39.789 1.001 3000 DensChangeDisp[32] 18.446 10.148 0.000 7.958 15.915 23.873 39.789 1.001 3000 DensChangeDisp[33] 30.040 12.033 7.958 23.873 31.831 39.789 55.704 1.002 1800 DensChangeDisp[34] 11.077 13.407 -15.915 0.000 7.958 23.873 39.789 1.001 2500 DensChangeDisp[35] 4.058 12.016 -15.915 0.000 7.958 7.958 23.873 1.001 2700 DensChangeDisp[36] -8.960 16.460 -39.789 -23.873 -7.958 0.000 23.873 1.002 1100 DensChangeDisp[37] 17.990 13.099 -7.958 7.958 15.915 23.873 39.789 1.001 3000 DensChangeDisp[38] -0.157 12.728 -23.873 -7.958 0.000 7.958 23.873 1.001 3000 DensChangeDisp[39] 17.698 13.416 -7.958 7.958 15.915 23.873 39.789 1.001 3000 DensChangeDisp[40] 17.642 15.434 -15.915 7.958 15.915 31.831 47.746 1.001 3000 DensChangeDisp[41] 4.679 14.949 -23.873 -7.958 7.958 15.915 31.831 1.001 2600 DensChangeDisp[42] 23.083 15.521 -7.958 15.915 23.873 31.831 55.704 1.001 3000 DensChangeDisp[43] 21.993 15.972 -7.958 7.958 23.873 31.831 55.704 1.001 2500 DensChangeDisp[44] 30.757 17.045 0.000 15.915 31.831 39.789 63.662 1.001 2100 DensChangeDisp[45] 7.146 12.884 -15.915 0.000 7.958 15.915 31.831 1.001 3000 DensChangeDisp[46] 6.653 13.061 -23.873 0.000 7.958 15.915 31.831 1.003 810 DensChangeDisp[47] -6.610 15.122 -39.789 -15.915 -7.958 0.000 23.873 1.001 3000 DensChangeDisp[48] 12.645 13.345 -15.915 0.000 15.915 23.873 39.789 1.001 3000 DensChangeDisp[49] 4.141 13.273 -23.873 -7.958 7.958 15.915 31.831 1.001 3000 DensChangeDisp[50] -23.059 11.112 -47.746 -31.831 -23.873 -15.915 0.000 1.002 1200 DensChangeDisp[51] -3.247 11.939 -23.873 -7.958 0.000 7.958 16.114 1.001 3000 DensChangeDisp[52] 20.213 13.060 -7.958 7.958 23.873 31.831 47.746 1.003 1000 DensChangeDisp[53] 13.557 12.072 -7.958 7.958 15.915 23.873 39.789 1.001 2500 DensChangeS[1] 28.530 8.540 12.430 22.692 28.256 34.429 45.296 1.005 510 DensChangeS[2] 18.228 7.817 3.562 12.954 17.910 23.300 34.170 1.001 2700 DensChangeS[3] -50.254 17.010 -85.051 -61.818 -50.101 -38.586 -16.970 1.006 370 DensChangeS[4] -50.254 17.010 -85.051 -61.818 -50.101 -38.586 -16.970 1.006 370 DensChangeS[5] -21.627 7.320 -36.602 -26.604 -21.561 -16.606 -7.303 1.006 370 DensChangeS[6] -1.565 5.713 -12.520 -5.303 -1.652 2.087 9.737 1.001 3000 DensChangeS[7] 3.142 14.083 -24.652 -6.061 3.232 12.525 30.914 1.004 660 DensChangeS[8] -3.121 5.629 -14.606 -6.694 -3.043 0.522 7.566 1.001 2300 DensChangeS[9] -1.565 5.713 -12.520 -5.303 -1.652 2.087 9.737 1.001 3000 DensChangeS[10] -3.614 12.798 -28.894 -12.121 -3.434 5.051 21.414 1.001 2700 DensChangeS[11] -2.060 5.788 -13.476 -5.999 -2.000 1.913 9.390 1.002 2800 DensChangeS[12] -2.060 5.788 -13.476 -5.999 -2.000 1.913 9.390 1.002 2800 DensChangeS[13] -2.060 5.788 -13.476 -5.999 -2.000 1.913 9.390 1.002 2800 DensChangeS[14] 11.630 15.777 -17.980 0.808 11.717 22.020 42.227 1.002 1700 DensChangeS[15] 45.495 18.312 10.909 33.131 45.253 57.222 82.222 1.004 610 DensChangeS[16] -6.630 17.097 -39.601 -18.384 -6.667 4.848 27.480 1.001 3000 DensChangeS[17] 18.228 7.817 3.562 12.954 17.910 23.300 34.170 1.001 2700 DensChangeS[18] 1.532 8.817 -15.912 -4.521 1.652 7.651 18.260 1.001 3000 DensChangeS[19] -0.573 8.540 -17.475 -6.195 -0.782 5.303 16.693 1.004 980 DensChangeS[20] -0.573 8.540 -17.475 -6.195 -0.782 5.303 16.693 1.004 980 DensChangeS[21] -1.332 19.844 -40.606 -14.394 -1.818 12.323 38.788 1.004 980 DensChangeS[22] -21.627 7.320 -36.602 -26.604 -21.561 -16.606 -7.303 1.006 370 DensChangeS[23] -50.254 17.010 -85.051 -61.818 -50.101 -38.586 -16.970 1.006 370 DensChangeS[24] -21.627 7.320 -36.602 -26.604 -21.561 -16.606 -7.303 1.006 370 DensChangeS[25] -23.192 7.137 -37.563 -27.908 -23.039 -18.432 -8.955 1.006 380 DensChangeS[26] -21.627 7.320 -36.602 -26.604 -21.561 -16.606 -7.303 1.006 370 DensChangeS[27] -21.627 7.320 -36.602 -26.604 -21.561 -16.606 -7.303 1.006 370 DensChangeS[28] -21.627 7.320 -36.602 -26.604 -21.561 -16.606 -7.303 1.006 370 DensChangeS[29] -3.637 13.276 -29.091 -12.323 -3.838 4.848 22.626 1.001 3000 DensChangeS[30] -3.637 13.276 -29.091 -12.323 -3.838 4.848 22.626 1.001 3000 DensChangeS[31] -1.565 5.713 -12.520 -5.303 -1.652 2.087 9.737 1.001 3000 DensChangeS[32] -1.565 5.713 -12.520 -5.303 -1.652 2.087 9.737 1.001 3000 DensChangeS[33] 3.142 14.083 -24.652 -6.061 3.232 12.525 30.914 1.004 660 DensChangeS[34] 3.142 14.083 -24.652 -6.061 3.232 12.525 30.914 1.004 660 DensChangeS[35] -1.555 5.508 -12.435 -5.216 -1.478 2.174 9.216 1.001 2700 DensChangeS[36] 1.993 12.748 -23.030 -6.465 2.020 10.505 26.869 1.002 1600 DensChangeS[37] 0.858 5.486 -9.911 -2.782 0.869 4.521 11.563 1.002 1600 DensChangeS[38] -2.060 5.788 -13.476 -5.999 -2.000 1.913 9.390 1.002 2800 DensChangeS[39] -2.060 5.788 -13.476 -5.999 -2.000 1.913 9.390 1.002 2800 DensChangeS[40] -10.394 13.049 -36.172 -18.990 -10.303 -1.616 14.545 1.004 640 DensChangeS[41] -4.787 13.449 -31.313 -13.939 -4.646 4.444 21.818 1.002 2800 DensChangeS[42] 5.607 12.726 -19.192 -3.030 5.657 13.939 30.717 1.001 2400 DensChangeS[43] 2.413 5.477 -8.259 -1.304 2.434 5.999 13.219 1.001 2400 DensChangeS[44] -0.499 12.963 -26.061 -9.293 -0.606 8.283 25.455 1.002 1100 DensChangeS[45] 5.454 6.145 -6.090 1.391 5.390 9.477 17.997 1.002 1300 DensChangeS[46] 2.309 6.681 -10.870 -2.000 2.260 6.781 15.649 1.001 2100 DensChangeS[47] -5.668 6.300 -18.173 -9.737 -5.564 -1.304 6.349 1.002 1100 DensChangeS[48] -13.171 14.638 -42.227 -22.626 -12.929 -3.030 14.753 1.002 1100 DensChangeS[49] -13.171 14.638 -42.227 -22.626 -12.929 -3.030 14.753 1.002 1100 DensChangeS[50] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 1 DensChangeS[51] 11.630 15.777 -17.980 0.808 11.717 22.020 42.227 1.002 1700 DensChangeS[52] 52.110 18.341 16.970 40.000 51.919 64.040 89.293 1.003 810 DensChangeS[53] 6.616 21.647 -34.747 -7.677 6.869 21.616 49.091 1.007 340 DensNatal[1] 22.069 7.494 7.958 15.915 23.873 23.873 39.789 1.001 3000 DensNatal[2] 19.743 10.920 0.000 15.915 15.915 23.873 47.746 1.001 2300 DensNatal[3] 25.743 10.111 7.958 15.915 23.873 31.831 47.746 1.001 3000 DensNatal[4] 53.699 18.914 23.873 39.789 55.704 63.662 95.493 1.001 2100 DensNatal[5] 19.401 9.467 7.958 15.915 15.915 23.873 39.789 1.001 2500 DensNatal[6] 14.950 7.163 7.958 7.958 15.915 15.915 31.831 1.001 2800 DensNatal[7] 20.388 11.329 0.000 15.915 15.915 23.873 47.746 1.001 2200 DensNatal[8] 7.324 6.054 0.000 0.000 7.958 7.958 23.873 1.001 3000 DensNatal[9] 7.324 6.054 0.000 0.000 7.958 7.958 23.873 1.001 3000 DensNatal[10] 24.680 8.696 7.958 15.915 23.873 31.831 39.789 1.001 3000 DensNatal[11] 17.897 9.171 0.000 7.958 15.915 23.873 39.789 1.002 1700 DensNatal[12] 16.772 12.093 0.000 7.958 15.915 23.873 39.789 1.002 1100 DensNatal[13] 33.409 9.246 15.915 23.873 31.831 39.789 55.704 1.001 3000 DensNatal[14] 34.521 15.481 7.958 23.873 31.831 47.746 71.620 1.001 2600 DensNatal[15] 13.671 6.806 0.000 7.958 15.915 15.915 23.873 1.001 3000 DensNatal[16] 21.698 14.024 0.000 7.958 23.873 31.831 55.704 1.001 3000 DensNatal[17] 21.802 8.438 7.958 15.915 23.873 23.873 39.789 1.002 1300 DensNatal[18] 15.939 8.071 7.958 7.958 15.915 23.873 31.831 1.001 3000 DensNatal[19] 19.019 8.774 7.958 15.915 15.915 23.873 39.789 1.001 3000 DensNatal[20] 18.223 9.245 7.958 7.958 15.915 23.873 39.789 1.001 3000 DensNatal[21] 32.794 8.454 15.915 23.873 31.831 39.789 47.746 1.001 3000 DensNatal[22] 18.767 7.822 7.958 15.915 15.915 23.873 31.831 1.001 2300 DensNatal[23] 35.080 11.996 15.915 23.873 31.831 39.789 63.662 1.001 3000 DensNatal[24] 19.953 6.815 7.958 15.915 15.915 23.873 31.831 1.002 1100 DensNatal[25] 18.401 8.729 0.000 15.915 15.915 23.873 39.789 1.001 2900 DensNatal[26] 27.693 10.210 7.958 23.873 23.873 31.831 47.746 1.001 3000 DensNatal[27] 16.820 5.721 7.958 15.915 15.915 15.915 31.831 1.001 2200 DensNatal[28] 27.693 10.210 7.958 23.873 23.873 31.831 47.746 1.001 3000 DensNatal[29] 25.520 8.541 7.958 15.915 23.873 31.831 39.789 1.001 3000 DensNatal[30] 26.632 8.793 15.915 23.873 23.873 31.831 47.746 1.001 2200 DensNatal[31] 14.950 7.163 7.958 7.958 15.915 15.915 31.831 1.001 2800 DensNatal[32] 7.324 6.054 0.000 0.000 7.958 7.958 23.873 1.001 3000 DensNatal[33] 13.950 8.733 0.000 7.958 15.915 15.915 31.831 1.001 3000 DensNatal[34] 35.977 10.542 15.915 31.831 39.789 39.789 55.704 1.001 3000 DensNatal[35] 20.239 7.543 7.958 15.915 15.915 23.873 39.789 1.001 3000 DensNatal[36] 42.579 10.648 23.873 31.831 39.789 47.746 63.662 1.004 660 DensNatal[37] 29.388 8.371 15.915 23.873 31.831 31.831 47.746 1.001 3000 DensNatal[38] 29.995 9.382 15.915 23.873 31.831 39.789 47.746 1.001 3000 DensNatal[39] 20.642 9.288 7.958 15.915 23.873 23.873 39.789 1.001 3000 DensNatal[40] 23.043 11.663 0.000 15.915 23.873 31.831 47.746 1.001 3000 DensNatal[41] 29.844 10.688 15.915 23.873 31.831 39.789 55.704 1.001 3000 DensNatal[42] 24.253 10.724 7.958 15.915 23.873 31.831 47.746 1.001 3000 DensNatal[43] 25.584 10.463 7.958 15.915 23.873 31.831 47.746 1.001 3000 DensNatal[44] 35.497 11.980 15.915 23.873 31.831 39.789 63.662 1.003 960 DensNatal[45] 38.173 8.924 23.873 31.831 39.789 39.789 55.704 1.001 3000 DensNatal[46] 31.393 10.271 15.915 23.873 31.831 39.789 55.704 1.002 1400 DensNatal[47] 43.256 11.648 23.873 31.831 39.789 47.746 63.662 1.001 3000 DensNatal[48] 30.104 8.623 15.915 23.873 31.831 31.831 47.746 1.001 3000 DensNatal[49] 42.749 8.293 31.632 39.789 39.789 47.746 55.704 1.001 3000 DensNatal[50] 27.038 10.007 7.958 23.873 23.873 31.831 47.746 1.003 990 DensNatal[51] 11.170 8.827 0.000 7.958 7.958 15.915 31.831 1.001 3000 DensNatal[52] 14.703 9.018 0.000 7.958 15.915 15.915 31.831 1.003 1000 DensNatal[53] 15.663 7.412 0.000 7.958 15.915 15.915 31.831 1.001 2600 DensSettle[1] 15.796 8.741 0.000 7.958 15.915 23.873 31.831 1.001 3000 DensSettle[2] 34.706 14.054 7.958 23.873 31.831 39.789 63.662 1.001 3000 DensSettle[3] 29.526 7.792 15.915 23.873 31.831 31.831 47.746 1.001 3000 DensSettle[4] 22.568 13.550 0.000 15.915 23.873 31.831 55.704 1.002 1800 DensSettle[5] 14.605 7.379 0.000 7.958 15.915 15.915 31.831 1.001 3000 DensSettle[6] 30.163 9.840 15.915 23.873 31.831 39.789 47.746 1.002 2100 DensSettle[7] 43.990 8.307 31.831 39.789 39.789 47.746 63.662 1.001 2200 DensSettle[8] 22.523 9.175 7.958 15.915 23.873 31.831 39.789 1.002 3000 DensSettle[9] 26.953 7.511 15.915 23.873 23.873 31.831 39.789 1.001 3000 DensSettle[10] 28.359 9.093 15.915 23.873 23.873 31.831 47.746 1.001 3000 DensSettle[11] 30.237 10.235 15.915 23.873 31.831 39.789 47.746 1.002 1400 DensSettle[12] 45.327 10.352 23.873 39.789 47.746 55.704 63.662 1.001 3000 DensSettle[13] 49.593 7.461 39.789 47.746 47.746 55.704 63.662 1.001 3000 DensSettle[14] 30.009 17.437 0.000 15.915 23.873 39.789 71.620 1.001 3000 DensSettle[15] 20.035 8.686 7.958 15.915 15.915 23.873 39.789 1.001 3000 DensSettle[16] 3.759 5.540 0.000 0.000 0.000 7.958 15.915 1.005 1300 DensSettle[17] 32.661 11.737 15.915 23.873 31.831 39.789 55.704 1.001 3000 DensSettle[18] 17.640 8.928 7.958 7.958 15.915 23.873 39.789 1.001 2300 DensSettle[19] 40.638 9.733 23.873 31.831 39.789 47.746 63.662 1.002 1300 DensSettle[20] 31.011 11.060 15.717 23.873 31.831 39.789 55.704 1.002 2200 DensSettle[21] 34.616 10.380 15.915 23.873 31.831 39.789 55.704 1.004 770 DensSettle[22] 10.703 4.502 7.958 7.958 7.958 15.915 23.873 1.002 1900 DensSettle[23] 29.526 7.792 15.915 23.873 31.831 31.831 47.746 1.001 3000 DensSettle[24] 6.130 6.355 0.000 0.000 7.958 7.958 23.873 1.001 2100 DensSettle[25] 25.746 9.250 7.958 15.915 23.873 31.831 47.746 1.001 3000 DensSettle[26] 25.913 10.254 7.958 15.915 23.873 31.831 47.746 1.001 3000 DensSettle[27] 10.571 6.684 0.000 7.958 7.958 15.915 23.873 1.001 3000 DensSettle[28] 22.404 10.318 7.958 15.915 23.873 31.831 39.789 1.001 3000 DensSettle[29] 27.027 8.851 15.915 23.873 23.873 31.831 47.746 1.001 3000 DensSettle[30] 33.210 8.836 15.915 23.873 31.831 39.789 47.746 1.002 1600 DensSettle[31] 31.200 8.293 15.915 23.873 31.831 39.789 47.746 1.001 3000 DensSettle[32] 25.770 8.275 7.958 23.873 23.873 31.831 39.789 1.001 3000 DensSettle[33] 43.990 8.307 31.831 39.789 39.789 47.746 63.662 1.001 2200 DensSettle[34] 47.054 8.330 31.831 39.789 47.746 55.704 63.662 1.001 3000 DensSettle[35] 24.298 9.194 7.958 15.915 23.873 31.831 39.789 1.001 2200 DensSettle[36] 33.619 12.377 15.915 23.873 31.831 39.789 55.704 1.001 3000 DensSettle[37] 47.378 10.053 31.831 39.789 47.746 55.704 63.662 1.001 3000 DensSettle[38] 29.839 8.397 15.915 23.873 31.831 31.831 47.746 1.001 3000 DensSettle[39] 38.340 9.642 23.873 31.831 39.789 47.746 55.704 1.001 3000 DensSettle[40] 40.685 10.404 23.873 31.831 39.789 47.746 63.662 1.001 3000 DensSettle[41] 34.523 10.874 15.915 23.873 31.831 39.789 55.704 1.002 1200 DensSettle[42] 47.335 11.443 23.873 39.789 47.746 55.704 71.620 1.001 3000 DensSettle[43] 47.577 11.647 23.873 39.789 47.746 55.704 71.620 1.001 3000 DensSettle[44] 66.254 12.036 47.746 55.704 63.662 71.620 87.535 1.002 1800 DensSettle[45] 45.319 9.480 31.831 39.789 47.746 47.746 63.662 1.001 3000 DensSettle[46] 38.046 7.990 23.873 31.831 39.789 39.789 55.704 1.002 1300 DensSettle[47] 36.645 9.605 15.915 31.831 39.789 39.789 55.704 1.001 2700 DensSettle[48] 42.749 10.148 23.873 39.789 39.789 47.746 63.662 1.001 3000 DensSettle[49] 46.890 10.310 23.873 39.789 47.746 55.704 63.662 1.001 3000 DensSettle[50] 3.979 5.673 0.000 0.000 0.000 7.958 15.915 1.001 3000 DensSettle[51] 7.923 8.162 0.000 0.000 7.958 15.915 23.873 1.002 1400 DensSettle[52] 34.916 9.289 15.915 31.831 31.831 39.789 55.704 1.001 3000 DensSettle[53] 29.221 9.405 15.915 23.873 31.831 31.831 47.746 1.001 2400 NatalN.1 44.396 5.675 34.000 40.000 44.000 48.000 56.000 1.003 680 NatalN.2 117.100 8.134 102.000 112.000 117.000 122.000 133.000 1.001 2300 NatalNinS.1 5415.861 374.956 4709.950 5157.750 5410.500 5670.000 6157.025 1.004 590 NatalNinS.2 13322.600 777.299 11836.975 12787.000 13316.000 13834.000 14881.050 1.002 1000 PctNChangeDisp[1] 0.844 0.398 0.250 0.600 0.750 1.000 1.667 1.001 3000 PctNChangeDisp[2] 1.855 1.210 0.600 1.000 1.500 2.333 5.000 1.001 3000 PctNChangeDisp[3] 1.233 0.537 0.571 0.833 1.000 1.425 2.500 1.001 3000 PctNChangeDisp[4] 0.549 0.328 0.125 0.333 0.500 0.667 1.333 1.002 1200 PctNChangeDisp[5] 0.931 0.475 0.250 0.600 1.000 1.000 2.000 1.001 3000 PctNChangeDisp[6] 1.825 0.745 0.750 1.333 1.667 2.333 3.500 1.002 1400 PctNChangeDisp[7] 2.216 1.230 0.857 1.500 2.000 2.667 6.000 1.001 3000 PctNChangeDisp[8] 2.360 1.271 0.750 1.500 2.000 3.000 5.000 1.001 3000 PctNChangeDisp[9] 2.698 1.305 1.000 2.000 2.500 4.000 6.000 1.001 3000 PctNChangeDisp[10] 1.194 0.456 0.500 0.833 1.000 1.400 2.333 1.001 3000 PctNChangeDisp[11] 1.730 0.981 0.667 1.000 1.500 2.000 5.000 1.001 3000 PctNChangeDisp[12] 2.855 1.824 0.875 1.600 2.333 3.500 8.000 1.002 1200 PctNChangeDisp[13] 1.465 0.402 0.857 1.167 1.400 1.750 2.333 1.001 3000 PctNChangeDisp[14] 1.045 0.723 0.222 0.571 0.866 1.333 3.000 1.002 1800 PctNChangeDisp[15] 1.464 0.806 0.500 1.000 1.333 1.667 4.000 1.001 3000 PctNChangeDisp[16] 0.517 0.439 0.143 0.250 0.333 0.500 2.000 1.001 3000 PctNChangeDisp[17] 1.482 0.648 0.600 1.000 1.333 1.750 3.000 1.001 3000 PctNChangeDisp[18] 1.181 0.550 0.429 0.750 1.000 1.500 2.500 1.002 1500 PctNChangeDisp[19] 2.032 0.920 0.857 1.400 1.750 2.333 4.000 1.001 3000 PctNChangeDisp[20] 1.686 0.812 0.600 1.000 1.500 2.000 3.500 1.001 3000 PctNChangeDisp[21] 1.094 0.372 0.500 0.833 1.000 1.250 2.000 1.002 1100 PctNChangeDisp[22] 0.765 0.310 0.400 0.500 0.667 1.000 1.500 1.001 2400 PctNChangeDisp[23] 0.945 0.355 0.444 0.714 0.833 1.167 1.750 1.001 3000 PctNChangeDisp[24] 0.535 0.281 0.200 0.333 0.500 0.667 1.333 1.001 3000 PctNChangeDisp[25] 1.463 0.777 0.600 1.000 1.333 1.667 3.500 1.001 3000 PctNChangeDisp[26] 1.041 0.490 0.400 0.750 1.000 1.250 2.333 1.001 3000 PctNChangeDisp[27] 0.789 0.349 0.250 0.500 0.667 1.000 1.500 1.001 3000 PctNChangeDisp[28] 0.934 0.470 0.286 0.600 0.800 1.149 2.000 1.001 3000 PctNChangeDisp[29] 1.117 0.427 0.500 0.800 1.000 1.333 2.000 1.001 3000 PctNChangeDisp[30] 1.271 0.443 0.600 1.000 1.250 1.500 2.333 1.001 3000 PctNChangeDisp[31] 1.870 0.694 0.800 1.333 1.667 2.500 3.500 1.001 3000 PctNChangeDisp[32] 2.601 1.282 1.000 1.500 2.000 3.000 6.000 1.001 3000 PctNChangeDisp[33] 2.837 1.462 1.199 2.000 2.500 3.500 7.000 1.001 2500 PctNChangeDisp[34] 1.337 0.441 0.750 1.000 1.200 1.500 2.333 1.001 3000 PctNChangeDisp[35] 1.232 0.515 0.500 1.000 1.200 1.500 2.500 1.001 2500 PctNChangeDisp[36] 0.864 0.332 0.375 0.625 0.833 1.000 1.667 1.002 1700 PctNChangeDisp[37] 1.559 0.466 0.833 1.200 1.500 1.750 2.667 1.001 3000 PctNChangeDisp[38] 1.068 0.403 0.500 0.800 1.000 1.250 2.000 1.001 3000 PctNChangeDisp[39] 1.841 0.904 0.800 1.250 1.667 2.000 4.000 1.001 3000 PctNChangeDisp[40] 1.882 1.120 0.714 1.200 1.600 2.250 5.000 1.001 3000 PctNChangeDisp[41] 1.216 0.486 0.556 0.833 1.167 1.500 2.333 1.001 3000 PctNChangeDisp[42] 1.964 0.973 0.833 1.333 1.750 2.333 4.000 1.001 3000 PctNChangeDisp[43] 1.886 0.987 0.800 1.250 1.667 2.250 4.000 1.002 1900 PctNChangeDisp[44] 1.857 0.674 1.000 1.400 1.732 2.200 3.667 1.002 1500 PctNChangeDisp[45] 1.202 0.336 0.714 1.000 1.167 1.400 2.000 1.001 3000 PctNChangeDisp[46] 1.252 0.410 0.667 1.000 1.200 1.500 2.333 1.003 910 PctNChangeDisp[47] 0.923 0.317 0.444 0.714 0.857 1.000 1.667 1.001 3000 PctNChangeDisp[48] 1.407 0.457 0.714 1.000 1.333 1.667 2.500 1.001 3000 PctNChangeDisp[49] 1.112 0.287 0.625 0.875 1.125 1.286 1.800 1.001 3000 PctNChangeDisp[50] 0.371 0.216 0.166 0.200 0.333 0.500 1.000 1.001 3000 PctNChangeDisp[51] 1.046 0.807 0.250 0.500 1.000 1.333 3.000 1.001 3000 PctNChangeDisp[52] 2.251 1.202 0.800 1.500 2.000 2.500 6.000 1.002 1300 PctNChangeDisp[53] 1.775 0.893 0.750 1.250 1.667 2.000 4.000 1.001 3000 PctNChangeS[1] 2.048 0.429 1.344 1.734 1.990 2.315 2.979 1.003 990 PctNChangeS[2] 1.681 0.369 1.100 1.422 1.634 1.881 2.513 1.002 1400 PctNChangeS[3] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[4] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[5] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[6] 0.964 0.248 0.578 0.792 0.931 1.098 1.524 1.001 3000 PctNChangeS[7] 1.092 0.278 0.647 0.894 1.060 1.255 1.716 1.003 760 PctNChangeS[8] 0.896 0.232 0.516 0.737 0.868 1.026 1.403 1.001 2400 PctNChangeS[9] 0.964 0.248 0.578 0.792 0.931 1.098 1.524 1.001 3000 PctNChangeS[10] 0.959 0.249 0.561 0.777 0.930 1.107 1.535 1.001 2900 PctNChangeS[11] 0.945 0.227 0.575 0.781 0.919 1.085 1.457 1.001 3000 PctNChangeS[12] 0.945 0.227 0.575 0.781 0.919 1.085 1.457 1.001 3000 PctNChangeS[13] 0.945 0.227 0.575 0.781 0.919 1.085 1.457 1.001 3000 PctNChangeS[14] 1.233 0.307 0.752 1.014 1.199 1.404 1.933 1.001 2100 PctNChangeS[15] 1.816 0.423 1.156 1.517 1.764 2.051 2.795 1.004 600 PctNChangeS[16] 0.939 0.223 0.585 0.782 0.912 1.066 1.449 1.001 3000 PctNChangeS[17] 1.681 0.369 1.100 1.422 1.634 1.881 2.513 1.002 1400 PctNChangeS[18] 1.056 0.209 0.706 0.903 1.039 1.183 1.506 1.001 3000 PctNChangeS[19] 1.006 0.192 0.687 0.872 0.982 1.123 1.433 1.003 970 PctNChangeS[20] 1.006 0.192 0.687 0.872 0.982 1.123 1.433 1.003 970 PctNChangeS[21] 1.006 0.192 0.687 0.872 0.982 1.123 1.433 1.003 970 PctNChangeS[22] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[23] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[24] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[25] 0.497 0.111 0.321 0.418 0.485 0.563 0.755 1.004 530 PctNChangeS[26] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[27] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[28] 0.532 0.120 0.337 0.448 0.521 0.602 0.798 1.005 500 PctNChangeS[29] 0.964 0.248 0.578 0.792 0.931 1.098 1.524 1.001 3000 PctNChangeS[30] 0.964 0.248 0.578 0.792 0.931 1.098 1.524 1.001 3000 PctNChangeS[31] 0.964 0.248 0.578 0.792 0.931 1.098 1.524 1.001 3000 PctNChangeS[32] 0.964 0.248 0.578 0.792 0.931 1.098 1.524 1.001 3000 PctNChangeS[33] 1.092 0.278 0.647 0.894 1.060 1.255 1.716 1.003 760 PctNChangeS[34] 1.092 0.278 0.647 0.894 1.060 1.255 1.716 1.003 760 PctNChangeS[35] 0.959 0.249 0.561 0.777 0.930 1.107 1.535 1.001 2900 PctNChangeS[36] 1.071 0.262 0.646 0.882 1.041 1.228 1.672 1.002 1800 PctNChangeS[37] 1.071 0.262 0.646 0.882 1.041 1.228 1.672 1.002 1800 PctNChangeS[38] 0.945 0.227 0.575 0.781 0.919 1.085 1.457 1.001 3000 PctNChangeS[39] 0.945 0.227 0.575 0.781 0.919 1.085 1.457 1.001 3000 PctNChangeS[40] 0.845 0.211 0.511 0.693 0.818 0.971 1.312 1.003 830 PctNChangeS[41] 0.945 0.227 0.575 0.781 0.919 1.085 1.457 1.001 3000 PctNChangeS[42] 1.156 0.296 0.693 0.944 1.116 1.324 1.851 1.001 3000 PctNChangeS[43] 1.156 0.296 0.693 0.944 1.116 1.324 1.851 1.001 3000 PctNChangeS[44] 1.019 0.252 0.614 0.838 0.988 1.169 1.603 1.002 1200 PctNChangeS[45] 1.273 0.308 0.782 1.054 1.243 1.454 1.960 1.002 1500 PctNChangeS[46] 1.110 0.253 0.692 0.933 1.083 1.260 1.692 1.001 2300 PctNChangeS[47] 0.823 0.204 0.495 0.678 0.800 0.947 1.295 1.002 1000 PctNChangeS[48] 0.823 0.204 0.495 0.678 0.800 0.947 1.295 1.002 1000 PctNChangeS[49] 0.823 0.204 0.495 0.678 0.800 0.947 1.295 1.002 1000 PctNChangeS[50] 1.000 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1 PctNChangeS[51] 1.233 0.307 0.752 1.014 1.199 1.404 1.933 1.001 2100 PctNChangeS[52] 1.929 0.432 1.224 1.625 1.878 2.179 2.910 1.002 1600 PctNChangeS[53] 1.086 0.222 0.728 0.932 1.064 1.220 1.579 1.007 350 SettleN.1 56.316 5.250 47.000 53.000 56.000 60.000 67.000 1.002 1700 SettleN.2 149.709 8.040 134.000 144.000 150.000 155.000 165.025 1.002 1200 SettleNinS.1 5312.034 326.704 4681.900 5088.000 5304.000 5529.250 5977.025 1.001 2200 SettleNinS.2 11904.201 698.449 10604.750 11425.750 11882.000 12371.500 13337.100 1.002 1600 p0 0.989 0.010 0.963 0.985 0.992 0.996 1.000 1.001 3000 psi[1] 0.307 0.076 0.174 0.253 0.300 0.355 0.475 1.004 550 psi[2] 0.156 0.038 0.090 0.129 0.153 0.179 0.239 1.002 1100 psi[3] 0.409 0.085 0.259 0.349 0.404 0.465 0.582 1.004 570 psi[4] 0.315 0.053 0.220 0.277 0.313 0.350 0.426 1.001 3000 psi[5] 0.501 0.099 0.326 0.432 0.492 0.564 0.715 1.001 2400 psi[6] 0.387 0.059 0.281 0.346 0.385 0.427 0.509 1.012 180 psi[7] 0.390 0.085 0.236 0.330 0.383 0.444 0.572 1.001 3000 psi[8] 0.303 0.053 0.208 0.266 0.301 0.336 0.414 1.003 680 psi[9] 0.466 0.095 0.295 0.399 0.459 0.526 0.672 1.005 580 psi[10] 0.280 0.050 0.190 0.243 0.276 0.312 0.387 1.001 3000 psi[11] 0.461 0.091 0.297 0.397 0.456 0.519 0.657 1.002 1300 psi[12] 0.267 0.048 0.181 0.233 0.264 0.298 0.371 1.004 640 psi[13] 0.232 0.066 0.123 0.185 0.227 0.273 0.379 1.003 670 psi[14] 0.130 0.034 0.071 0.105 0.127 0.151 0.202 1.001 3000 psi[15] 0.135 0.050 0.055 0.099 0.128 0.165 0.250 1.001 3000 psi[16] 0.137 0.035 0.078 0.112 0.134 0.158 0.214 1.001 3000 psi[17] 0.134 0.049 0.056 0.098 0.129 0.164 0.245 1.001 3000 psi[18] 0.167 0.039 0.099 0.139 0.164 0.191 0.252 1.004 580 psi[19] 0.154 0.055 0.067 0.115 0.147 0.187 0.281 1.002 1700 psi[20] 0.111 0.032 0.058 0.088 0.108 0.130 0.182 1.001 3000 psi[21] 0.213 0.064 0.106 0.167 0.208 0.252 0.356 1.002 1100 psi[22] 0.100 0.029 0.050 0.078 0.097 0.118 0.164 1.001 3000 psi[23] 0.211 0.063 0.106 0.166 0.204 0.251 0.349 1.001 3000 psi[24] 0.175 0.041 0.104 0.145 0.172 0.200 0.260 1.001 2000 psi[25] 0.287 0.071 0.166 0.236 0.282 0.331 0.444 1.003 740 psi[26] 0.167 0.039 0.100 0.139 0.164 0.191 0.254 1.002 1200 psi[27] 0.194 0.063 0.090 0.147 0.189 0.232 0.332 1.001 3000 psi[28] 0.120 0.033 0.064 0.097 0.117 0.140 0.192 1.004 580 psi[29] 0.268 0.070 0.148 0.218 0.262 0.311 0.425 1.001 3000 psi[30] 0.146 0.036 0.083 0.121 0.144 0.169 0.222 1.002 1900 psi[31] 0.387 0.084 0.237 0.329 0.382 0.439 0.571 1.001 3000 psi[32] 0.186 0.041 0.113 0.157 0.183 0.211 0.273 1.002 2100 psi[33] 0.292 0.074 0.164 0.240 0.286 0.338 0.449 1.002 1700 psi[34] 0.193 0.043 0.120 0.162 0.189 0.220 0.285 1.003 920 psi[35] 0.367 0.085 0.223 0.308 0.361 0.421 0.551 1.002 1100 psi[36] 0.325 0.056 0.227 0.285 0.321 0.362 0.441 1.003 710 psi[37] 0.408 0.088 0.252 0.347 0.404 0.464 0.592 1.002 1000 psi[38] 0.337 0.056 0.236 0.297 0.334 0.372 0.454 1.005 490 sigma2 138.393 5.960 127.415 134.375 138.192 142.113 150.846 1.005 480 deviance 5445.398 69.891 5307.526 5398.583 5444.073 5492.011 5581.685 1.001 3000 For each parameter, n.eff is a crude measure of effective sample size, and Rhat is the potential scale reduction factor (at convergence, Rhat=1). DIC info (using the rule, pD = var(deviance)/2) pD = 2443.6 and DIC = 7889.0 DIC is an estimate of expected predictive error (lower deviance is better). ################################################################################################## ### Posterior of Least Squares Slope y=Dispersal Distance, x=Natal Density ################################################################################################## ### Set 1 Posterior Prob Beta.N1 < 0 [1] 0.8253333 Posterior Prob Beta.N1 > 0 [1] 0.1746667 ### Set 2 Posterior Prob Beta.N2 < 0 [1] 0.957 Posterior Prob Beta.N2 > 0 [1] 0.043 ### Set 1 - w/o Outliers Posterior Prob Beta.N1.NoOut < 0 [1] 0.9713333 Posterior Prob Beta.N1.NoOut > 0 [1] 0.02866667 ################################################################################################## ### Posteriors Comparing Natal and Settle Densities - Over ALL Dispersers ################################################################################################## ### Set 1 Posterior Prob NatalN.1 < SettleN.1 [1] 0.9363333 Posterior Prob NatalN.1 > SettleN.1 [1] 0.04966667 Posterior Prob NatalN.1 = SettleN.1 [1] 0.014 ### Set 2 Posterior Prob NatalN.2 < SettleN.2 [1] 0.9996667 Posterior Prob NatalN.2 > SettleN.2 [1] 0 Posterior Prob NatalN.2 = SettleN.2 [1] 0.0003333333 ################################################################################################## ### Change in N as ratio (Percent Change) ################################################################################################## Posterior probs for percent change in N for dispersers vs. overall sample space [1] 0.9773333 [1] 0.5406667 [1] 0.03033333 [1] 0.553 [1] 0.1856667 [1] 0.094 [1] 0.09166667 [1] 0.05766667 [1] 0.02866667 [1] 0.326 [1] 0.1623333 [1] 0.031 [1] 0.098 [1] 0.7046667 [1] 0.7383333 [1] 0.8813333 [1] 0.6603333 [1] 0.4773333 [1] 0.07 [1] 0.1793333 [1] 0.4453333 [1] 0.237 [1] 0.08866667 [1] 0.5643333 [1] 0.018 [1] 0.1023333 [1] 0.238 [1] 0.1603333 [1] 0.4 [1] 0.259 [1] 0.06866667 [1] 0.03866667 [1] 0.029 [1] 0.3106667 [1] 0.3306667 [1] 0.7143333 [1] 0.1626667 [1] 0.413 [1] 0.09533333 [1] 0.069 [1] 0.3156667 [1] 0.161 [1] 0.1803333 [1] 0.06566667 [1] 0.585 [1] 0.396 [1] 0.4216667 [1] 0.09933333 [1] 0.1936667 [1] 0.9633333 [1] 0.7173333 [1] 0.4663333 [1] 0.1826667 Posterior Distribution for relative change (ratio) in N for dispersers vs. overall sample space 2.5% 50% 97.5% 0.1328099 0.3824454 0.9745578 2.5% 50% 97.5% 0.3500830 0.9505116 3.2072794 2.5% 50% 97.5% 0.9693232 2.1678713 5.3779320 2.5% 50% 97.5% 0.2519504 0.9271074 2.5292278 2.5% 50% 97.5% 0.5054239 1.6280907 4.2094893 2.5% 50% 97.5% 0.7277372 1.8016938 4.2712578 2.5% 50% 97.5% 0.7499948 1.8060624 5.5281996 2.5% 50% 97.5% 0.8090063 2.3225131 7.1788306 2.5% 50% 97.5% 0.9669946 2.5064148 7.1825934 2.5% 50% 97.5% 0.5079688 1.2173913 2.7243141 2.5% 50% 97.5% 0.6035876 1.6239036 5.2009036 2.5% 50% 97.5% 0.9634813 2.5154871 8.6835956 2.5% 50% 97.5% 0.8088778 1.5527860 2.9924492 2.5% 50% 97.5% 0.1835186 0.7290079 2.3314840 2.5% 50% 97.5% 0.2771345 0.7282886 2.2123759 2.5% 50% 97.5% 0.1478246 0.4254386 1.9669458 2.5% 50% 97.5% 0.3494185 0.8325464 1.9684539 2.5% 50% 97.5% 0.4050419 1.0318197 2.4805194 2.5% 50% 97.5% 0.8362344 1.8727518 4.5535707 2.5% 50% 97.5% 0.6138795 1.5360192 3.9564482 2.5% 50% 97.5% 0.5014213 1.0513189 2.1751658 2.5% 50% 97.5% 0.6344629 1.3515628 3.2296213 2.5% 50% 97.5% 0.7794767 1.6849175 3.7986579 2.5% 50% 97.5% 0.3423126 0.9059608 2.6192739 2.5% 50% 97.5% 1.096701 2.673653 7.369716 2.5% 50% 97.5% 0.6664541 1.8338997 4.5652064 2.5% 50% 97.5% 0.4734737 1.4076670 3.4500305 2.5% 50% 97.5% 0.5467983 1.6138823 4.1850257 2.5% 50% 97.5% 0.4889534 1.1235513 2.6524731 2.5% 50% 97.5% 0.582852 1.285250 2.763382 2.5% 50% 97.5% 0.7986099 1.8775965 4.2316926 2.5% 50% 97.5% 0.907875 2.432819 7.004784 2.5% 50% 97.5% 0.9725666 2.3671845 7.2591013 2.5% 50% 97.5% 0.5601234 1.2050634 2.6266126 2.5% 50% 97.5% 0.4960427 1.2206932 3.1088016 2.5% 50% 97.5% 0.3118454 0.7800066 1.7725492 2.5% 50% 97.5% 0.6868554 1.4390152 3.0186782 2.5% 50% 97.5% 0.4872247 1.0936977 2.5270347 2.5% 50% 97.5% 0.7811344 1.8092090 4.8649378 2.5% 50% 97.5% 0.8233076 1.9515009 6.3621258 2.5% 50% 97.5% 0.5145808 1.2388092 2.8957635 2.5% 50% 97.5% 0.6561545 1.5675953 4.2167469 2.5% 50% 97.5% 0.605924 1.498160 4.254198 2.5% 50% 97.5% 0.8489692 1.7617232 4.0798516 2.5% 50% 97.5% 0.4981967 0.9340183 1.8085015 2.5% 50% 97.5% 0.5491809 1.0956202 2.2600628 2.5% 50% 97.5% 0.498439 1.078102 2.510152 2.5% 50% 97.5% 0.7795362 1.6771138 3.6153241 2.5% 50% 97.5% 0.6515234 1.3518402 2.6851052 2.5% 50% 97.5% 0.1660714 0.3333333 1.0000000 2.5% 50% 97.5% 0.1954326 0.6830781 2.8039270 2.5% 50% 97.5% 0.4077065 1.0456683 3.3059920 2.5% 50% 97.5% 0.641918 1.493683 4.101352 ################################################################################################## ### Change in Density (# per Hectare) - Difference ################################################################################################## Posterior probs for absolute change in N for dispersers vs. overall sample space [1] 0.993 [1] 0.5773333 [1] 0.005666667 [1] 0.2316667 [1] 0.1063333 [1] 0.09333333 [1] 0.132 [1] 0.05933333 [1] 0.02733333 [1] 0.3313333 [1] 0.1643333 [1] 0.03166667 [1] 0.07433333 [1] 0.7463333 [1] 0.9666667 [1] 0.699 [1] 0.6843333 [1] 0.496 [1] 0.07766667 [1] 0.1886667 [1] 0.4496667 [1] 0.1173333 [1] 0.016 [1] 0.24 [1] 0.014 [1] 0.09766667 [1] 0.08166667 [1] 0.1446667 [1] 0.3833333 [1] 0.2696667 [1] 0.063 [1] 0.037 [1] 0.064 [1] 0.3283333 [1] 0.335 [1] 0.7076667 [1] 0.1106667 [1] 0.4443333 [1] 0.091 [1] 0.06966667 [1] 0.313 [1] 0.188 [1] 0.1216667 [1] 0.05966667 [1] 0.4576667 [1] 0.366 [1] 0.5193333 [1] 0.09933333 [1] 0.1776667 [1] 0.9633333 [1] 0.7906667 [1] 0.9256667 [1] 0.3896667 Posterior dist for absolute change (difference) for dispersers vs. overall sample space 2.5% 50% 97.5% -61.610026 -34.993914 -7.938617 2.5% 50% 97.5% -37.786039 -3.428968 32.833424 2.5% 50% 97.5% 12.43422 54.42239 96.04053 2.5% 50% 97.5% -31.94701 19.84670 68.36399 2.5% 50% 97.5% -11.22283 17.36524 41.73709 2.5% 50% 97.5% -8.133803 16.304122 43.614157 2.5% 50% 97.5% -17.73675 20.51786 56.03239 2.5% 50% 97.5% -4.228983 18.175971 42.487114 2.5% 50% 97.5% -0.4767208 21.0911166 43.1333708 2.5% 50% 97.5% -26.543606 7.474747 39.877811 2.5% 50% 97.5% -13.52417 14.43749 42.18441 2.5% 50% 97.5% -2.089789 31.176319 59.836837 2.5% 50% 97.5% -6.91445 18.52374 42.39189 2.5% 50% 97.5% -64.56134 -16.56566 31.99616 2.5% 50% 97.5% -80.483000 -39.415990 2.583032 2.5% 50% 97.5% -53.05013 -10.69783 27.47980 2.5% 50% 97.5% -36.824466 -7.384801 23.361028 2.5% 50% 97.5% -27.1370440 0.1304121 27.7456338 2.5% 50% 97.5% -7.867892 22.177884 52.441319 2.5% 50% 97.5% -17.08877 13.24074 44.96029 2.5% 50% 97.5% -42.582161 2.749324 48.682906 2.5% 50% 97.5% -8.834422 13.910624 35.257347 2.5% 50% 97.5% 2.868437 44.409587 86.421647 2.5% 50% 97.5% -15.58021 7.38741 30.60337 2.5% 50% 97.5% 3.731089 30.629022 57.878937 2.5% 50% 97.5% -11.06388 19.99652 49.78510 2.5% 50% 97.5% -6.527996 15.148235 37.391042 2.5% 50% 97.5% -15.40022 16.23500 46.77969 2.5% 50% 97.5% -30.179969 5.028454 39.955898 2.5% 50% 97.5% -23.75041 10.22407 44.07526 2.5% 50% 97.5% -5.998957 17.741264 40.654084 2.5% 50% 97.5% -1.913732 19.955661 42.573034 2.5% 50% 97.5% -8.657933 26.842014 61.158776 2.5% 50% 97.5% -31.392091 8.344359 44.558261 2.5% 50% 97.5% -19.394172 5.390367 31.526258 2.5% 50% 97.5% -49.28479 -11.39209 27.75770 2.5% 50% 97.5% -11.04271 17.35264 43.17945 2.5% 50% 97.5% -24.873784 1.999652 28.828901 2.5% 50% 97.5% -7.438272 20.134761 47.613462 2.5% 50% 97.5% -9.37276 28.15515 65.77236 2.5% 50% 97.5% -28.52278 9.69697 46.45563 2.5% 50% 97.5% -20.88704 17.40859 55.30129 2.5% 50% 97.5% -14.21855 19.91741 51.61901 2.5% 50% 97.5% -9.097062 31.101867 70.863872 2.5% 50% 97.5% -23.569533 1.782299 28.531562 2.5% 50% 97.5% -23.265543 4.674405 31.096029 2.5% 50% 97.5% -32.8805248 -0.7416108 30.3489189 2.5% 50% 97.5% -12.48423 25.93755 65.12132 2.5% 50% 97.5% -22.02107 17.21120 55.18945 2.5% 50% 97.5% -47.74648 -23.87324 0.00000 2.5% 50% 97.5% -51.47413 -15.02845 21.21322 2.5% 50% 97.5% -75.47660 -31.66026 11.02488 2.5% 50% 97.5% -41.056177 6.868687 54.099286 ################################################################################################## ### Average of (Change in Density around Disperser)-(Change in Density on Landscape) ### Disperser Set 1 ################################################################################################## Summary Min. 1st Qu. Median Mean 3rd Qu. Max. -10.130 5.158 8.370 8.290 11.410 27.890 95% CrI: -0.9017445 to 17.17627 Proportion > 0: [1] 0.9626667 Proportion < 0: [1] 0.03733333 Proportion = 0: [1] 0 ################################################################################################## ### Average of (Change in Density around Disperser)-(Change in Density on Landscape) ### Disperser Set 2 ################################################################################################## Summary Min. 1st Qu. Median Mean 3rd Qu. Max. 0.4961 8.6370 10.6000 10.6000 12.5800 22.0500 95% CrI: 4.847357 to 16.35744 Proportion > 0: [1] 1 Proportion < 0: [1] 0 Proportion = 0: [1] 0 ################################################################################################## ### Run time ################################################################################################## Start: 2014-07-07 00:25:11 End: 2014-07-11 07:54:27 Run Time (hours): 103.4878 Run Time (days): 4.311991