Hello! I am trying to run a GLMM using LME4, and keep getting the warning
message: "In mer_finalize(ans) : false convergence (8)" I am quite new to R,
and in looking into this thus far, it appears that there are a variety of
reasons why this might occur, such as needing to standardize some parameters or
if all subjects in one combination of parameters all have the same outcome. I
also understand that the warning does not necessarily mean that the model
results are invalid, but they might be...however, I am unsure how to interpret
this in my own situation.
I started with a somewhat more complex model, but kept simplifying it to see if
I could get the warning to go away (so it might indicate which predictor
variable was the problem...). However, even when using a single fixed effect
variable (just sex, for instance), I continue to have the problem, which makes
me think the issue may be with my random effect. Here is the model I would
like to run:
mm1=lmer(BinomialOutcome~AgeGroup+Sex+Study.Site+(1|BearID.reformatted),family=binomial)
The study is based on bear captures over a period of time, such that some bears
are captured only once, while others many times (in a very unbalanced fashion);
I would like to use all the data, but want to account for resampling of
specific individuals. However, this means that there are nearly 600 different
bear IDs, and I am wondering if this is the reason why the model will not
converge? If so, what is the best way to address this? Or other ideas as to
what might be going on?
When I run the line above with verbose on, I get the following: >
mm1=lmer(BinomialOutcome~AgeGroup+Sex+Study.Site+(1|BearID.reformatted),family=binomial)
#random effect: Ind with intercept of 1, correcting for the
intercept/variation btw individuals 0: 805.13676: 1.12717 -0.556586
1.85210 2.38794 2.36938 2.35604 -2.22337 1.30764 1.34134 -2.47444 -1.63320
1: 748.91032: 2.05259 -0.834683 1.81369 2.42567 2.40069 2.38217
-2.31535 1.22744 1.26468 -2.64606 -1.74027 2: 723.97734: 2.74220
-1.05673 2.00374 2.71876 2.57376 2.50128 -2.73578 1.23505 1.35678
-2.98235 -1.63736 3: 715.51275: 2.92015 -1.58830 2.15652 3.03669
2.81316 2.67649 -3.28992 1.30372 1.36311 -3.32467 -1.84785 4:
696.36424: 3.21244 -1.51265 2.41407 3.41250 3.22182 2.99137 -3.54075
1.68499 1.83767 -3.33953 -1.80989 5: 672.69327: 4.20847 -2.35950
3.26463 4.32168 4.39792 4.00460 -3.72829 1.41841 2.56574 -4.27911 -1.86318
6: 664.48332: 4.37811 -2.58726 3.01153 4.60841 4.65061 4.30175
-4.11225 2.30181 2.55998 -4.38222 -2.02300 7: 625.68427: 7.31164
-4.89788 5.63003 7.04671 7.95742 8.12903 -4.86511 3.64151 3.86169
-6.33864 -2.89485 8: 619.38278: 9.39340 -7.21835 5.63590 11.1393
10.6331 11.5975 -4.65786 3.81066 6.58406 -9.13652 -2.96142 9:
613.14410: 9.53164 -7.17298 6.01739 10.8896 10.7209 11.6709 -4.81531
4.06987 6.53556 -9.01013 -3.05630 10: 600.31130: 10.0557 -7.29631
7.68818 10.1017 11.1766 12.1945 -5.40073 5.30987 6.73629 -8.62503 -3.67308
11: 589.17852: 11.9972 -9.32646 9.77915 13.1274 13.2796 14.9828
-6.09763 6.80325 9.19492 -9.58777 -5.25910 12: 586.76154: 12.3176
-9.61034 9.97050 13.3227 13.7241 15.3584 -6.13498 7.19387 9.59990
-9.83274 -5.36590 13: 586.09051: 12.3760 -9.59270 9.95463 13.2692
13.7816 15.3696 -6.14017 7.35785 9.64404 -9.83450 -5.34840 14:
585.97813: 12.3886 -9.59431 9.95680 13.2579 13.7946 15.3724 -6.14235
7.38957 9.65379 -9.83525 -5.34966 15: 585.77123: 12.4143 -9.59929
9.96353 13.2359 13.8209 15.3784 -6.14715 7.45208 9.67407 -9.83681 -5.35395
16: 585.69436: 12.4251 -9.60281 9.96832 13.2277 13.8318 15.3810
-6.14945 7.47605 9.68290 -9.83747 -5.35717 17: 585.54933: 12.4469
-9.61094 9.97946 13.2122 13.8536 15.3863 -6.15434 7.52306 9.70121
-9.83879 -5.36474 18: 585.49415: 12.4558 -9.61507 9.98519 13.2068
13.8624 15.3886 -6.15653 7.54097 9.70908 -9.83931 -5.36868 19:
585.38801: 12.4740 -9.62396 9.99753 13.1967 13.8800 15.3933 -6.16106
7.57607 9.72529 -9.84034 -5.37720 20: 585.38387: 12.4748 -9.62436
9.99809 13.1963 13.8807 15.3935 -6.16126 7.57741 9.72597 -9.84038 -5.37759
21: 585.35100: 12.4807 -9.62760 10.0026 13.1936 13.8863 15.3951
-6.16281 7.58812 9.73146 -9.84070 -5.38074 22: 585.35042: 12.4807
-9.62760 10.0026 13.1936 13.8863 15.3951 -6.16281 7.58812 9.73146
-9.87324 -5.38074 23: 585.22373: 12.5045 -9.64059 10.0207 13.1830
13.9088 15.4016 -6.16903 7.63092 9.75346 -9.87324 -5.39333 24:
585.21879: 12.5055 -9.64113 10.0216 13.1827 13.9097 15.4018 -6.16930
7.63249 9.75441 -9.87323 -5.39392 25: 585.20893: 12.5075 -9.64224
10.0233 13.1822 13.9114 15.4024 -6.16984 7.63564 9.75632 -9.87322 -5.39512
26: 585.20499: 12.5083 -9.64268 10.0240 13.1820 13.9121 15.4026
-6.17006 7.63689 9.75709 -9.87321 -5.39560 27: 585.20420: 12.5085
-9.64277 10.0241 13.1820 13.9123 15.4027 -6.17011 7.63714 9.75724
-9.87321 -5.39570 28: 585.19792: 12.5098 -9.64349 10.0252 13.1817
13.9134 15.4030 -6.17046 7.63914 9.75847 -9.87320 -5.39647 29:
585.19767: 12.5098 -9.64351 10.0253 13.1817 13.9134 15.4030 -6.17047
7.63922 9.75852 -9.87320 -5.39650 30: 585.19762: 12.5098 -9.64352
10.0253 13.1817 13.9135 15.4030 -6.17047 7.63923 9.75853 -9.87320 -5.39651
31: 585.19752: 12.5099 -9.64353 10.0253 13.1817 13.9135 15.4030
-6.17048 7.63926 9.75855 -9.87320 -5.39652 32: 585.19748: 12.5099
-9.64354 10.0253 13.1817 13.9135 15.4030 -6.17048 7.63928 9.75856
-9.87320 -5.39653 33: 585.19740: 12.5099 -9.64355 10.0253 13.1817
13.9135 15.4031 -6.17049 7.63930 9.75857 -9.87320 -5.39654 34:
585.19736: 12.5099 -9.64355 10.0253 13.1817 13.9135 15.4031 -6.17049
7.63931 9.75858 -9.87320 -5.39654 35: 585.19730: 12.5099 -9.64356
10.0253 13.1817 13.9135 15.4031 -6.17049 7.63933 9.75859 -9.87320 -5.39655
36: 585.19727: 12.5099 -9.64356 10.0253 13.1817 13.9135 15.4031
-6.17049 7.63934 9.75860 -9.87320 -5.39655 37: 585.19722: 12.5099
-9.64356 10.0253 13.1817 13.9135 15.4031 -6.17050 7.63936 9.75861
-9.87320 -5.39656 38: 585.19719: 12.5099 -9.64363 10.0253 13.1817
13.9135 15.4031 -6.17050 7.63936 9.75861 -9.87329 -5.39656 39:
585.19679: 12.5100 -9.64367 10.0254 13.1817 13.9136 15.4031 -6.17052
7.63949 9.75869 -9.87326 -5.39661 40: 585.19677: 12.5100 -9.64367
10.0254 13.1817 13.9136 15.4031 -6.17052 7.63949 9.75869 -9.87326 -5.39661
41: 585.19677: 12.5100 -9.64367 10.0254 13.1817 13.9136 15.4031
-6.17052 7.63949 9.75869 -9.87326 -5.39661 42: 585.19677: 12.5100
-9.64367 10.0254 13.1817 13.9136 15.4031 -6.17052 7.63949 9.75870
-9.87326 -5.39661 43: 585.19676: 12.5100 -9.64367 10.0254 13.1817
13.9136 15.4031 -6.17052 7.63949 9.75870 -9.87326 -5.39661 44:
585.19676: 12.5100 -9.64367 10.0254 13.1817 13.9136 15.4031 -6.17052
7.63949 9.75870 -9.87326 -5.39661 45: 585.19676: 12.5100 -9.64367
10.0254 13.1817 13.9136 15.4031 -6.17052 7.63949 9.75870 -9.87326 -5.39661
46: 585.19676: 12.5100 -9.64367 10.0254 13.1817 13.9136 15.4031
-6.17052 7.63949 9.75870 -9.87326 -5.39661 47: 585.19676: 12.5100
-9.64367 10.0254 13.1817 13.9136 15.4031 -6.17052 7.63949 9.75870
-9.87326 -5.39661 48: 585.19676: 12.5100 -9.64367 10.0254 13.1817
13.9136 15.4031 -6.17052 7.63949 9.75870 -9.87326 -5.39661 49:
585.19676: 12.5100 -9.64367 10.0254 13.1817 13.9136 15.4031 -6.17052
7.63949 9.75870 -9.87326 -5.39661 50: 585.19676: 12.5100 -9.64367
10.0254 13.1817 13.9136 15.4031 -6.17052 7.63949 9.75870 -9.87326 -5.39661
51: 585.19676: 12.5100 -9.64367 10.0254 13.1817 13.9136 15.4031
-6.17052 7.63949 9.75870 -9.87326 -5.39661 52: 585.19676: 12.5100
-9.64367 10.0254 13.1817 13.9136 15.4031 -6.17052 7.63949 9.75870
-9.87326 -5.39661Warning message:In mer_finalize(ans) : false convergence (8)
I read something on another thread about high values (like the -9.6) being a
problem here, but I do not completely understand how to interpret or address
it. The model will run (those results pasted below), and appear highly
significant, but I do not know to what extent they can be trusted...in case it
is relevant, I am using the 64-bit version of R 2.15.1. (I also tried running
it in the 32-bit version, with the same outcome.) On another thread I also saw
a suggestion about maybe trying a development version of R with updates using
lme4a(?), but I am not sure where/how I would access that. Would this be
similar to using the pre-release version of R 3.0?
Any help is greatly appreciated! Thank you!!
> summary(mm1)Generalized linear mixed model fit by the Laplace approximation
> Formula: BinomialOutcome ~ AgeGroup + Sex + Study.Site + (1 |
> BearID.reformatted) AIC BIC logLik deviance 607.2 662.7 -292.6
> 585.2Random effects: Groups Name Variance Std.Dev.
> BearID.reformatted (Intercept) 156.5 12.51 Number of obs: 1146, groups:
> BearID.reformatted, 546
Fixed effects: Estimate Std. Error z value Pr(>|z|)
(Intercept) -9.644 18.171 -0.531 0.59562
AgeGroupMiddle(6-9) 10.025 1.901 5.273 1.34e-07
***AgeGroupOld(10-14) 13.182 2.124 6.207 5.38e-10
***AgeGroupOlder(15-19) 13.914 2.270 6.129 8.82e-10
***AgeGroupOldest(20-29) 15.403 2.553 6.033 1.61e-09
***AgeGroupYearling(0-1) -6.171 2.136 -2.889 0.00387 **
AgeGroupYoung(4-5) 7.639 1.837 4.159 3.20e-05 ***SexM
9.759 2.077 4.700 2.61e-06 ***Study.SiteNorth -9.873
18.211 -0.542 0.58770 Study.SiteSouth -5.397 18.120 -0.298
0.76584 ---Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
Correlation of Fixed Effects: (Intr) AGM(6- AGO(10 AGO(15 AGO(20
AGY(0- AGY(4- SexM Std.SNAgGrpM(6-9) -0.070
AgGO(10-14) -0.078 0.842
AgGO(15-19) -0.078 0.785 0.845
AgGO(20-29) -0.092 0.695 0.772 0.782
AgGrpY(0-1) -0.065 0.175 0.164 0.155 0.139
AgGrpY(4-5) -0.066 0.917 0.794 0.739 0.655 0.173 SexM
-0.067 0.142 0.181 0.181 0.161 0.022 0.122 Stdy.StNrth
-0.987 -0.030 -0.018 -0.012 0.009 0.044 -0.031 0.005 Study.StSth
-0.993 -0.007 0.003 0.007 0.029 0.042 -0.009 0.006 0.991>
drop1(mm1,test="Chi") 0: 1142.9869: 1.12717 0.112154 0.498078 -1.83237
-1.12752 1: 1081.2050: 1.60169 -0.555857 0.193717 -2.08938 -1.53971 2:
1068.5254: 2.45069 -0.231864 0.438946 -2.11102 -1.20264 3: 1012.1918:
2.79654 -0.963989 0.187293 -2.52731 -1.53091 4: 990.71560: 3.62551
-1.36261 0.272242 -2.90631 -1.58628 5: 985.96908: 3.69185 -1.54796
0.225404 -2.98931 -1.69633 6: 985.01827: 3.73506 -1.56552 0.230054
-3.00088 -1.70449 7: 983.15748: 3.81915 -1.60445 0.237421 -3.02517
-1.72349 8: 983.08384: 3.82237 -1.60620 0.237607 -3.02619 -1.72440 9:
982.49663: 3.84813 -1.62023 0.239089 -3.03437 -1.73166 10: 982.47321:
3.84916 -1.62080 0.239144 -3.03470 -1.73195 11: 982.46852: 3.84936
-1.62091 0.239155 -3.03477 -1.73201 12: 982.46759: 3.84940 -1.62093
0.239157 -3.03478 -1.73203 13: 982.46571: 3.84949 -1.62098 0.239162
-3.03481 -1.73205 14: 982.46497: 3.84952 -1.62100 0.239163 -3.03482
-1.73206 15: 982.46482: 3.84953 -1.62100 0.239164 -3.03482 -1.73206 16:
982.46452: 3.84954 -1.62101 0.239165 -3.03482 -1.73206 17: 982.46440:
3.84954 -1.62101 0.239165 -3.03482 -1.73207 18: 982.46416: 3.84955
-1.62102 0.239165 -3.03483 -1.73207 19: 982.46415: 3.84956 -1.62102
0.239165 -3.03483 -1.73207 20: 982.46413: 3.84956 -1.62102 0.239165
-3.03483 -1.73207 21: 982.46412: 3.84956 -1.62102 0.239165 -3.03483
-1.73207 22: 982.46412: 3.84956 -1.62102 0.239165 -3.03483 -1.73207 23:
982.46412: 3.84956 -1.62102 0.239165 -3.03483 -1.73207 24: 982.46411:
3.84956 -1.62102 0.239165 -3.03483 -1.73207 25: 982.46411: 3.84956
-1.62102 0.239165 -3.03483 -1.73207 26: 982.46411: 3.84956 -1.62102
0.239165 -3.03483 -1.73207 27: 982.46411: 3.84956 -1.62102 0.239165
-3.03483 -1.73207 28: 982.46411: 3.84956 -1.62102 0.239165 -3.03483
-1.73207 29: 982.46411: 3.84956 -1.62102 0.239165 -3.03483 -1.73207 30:
982.46411: 3.84956 -1.62102 0.239165 -3.03483 -1.73207 31: 982.46411:
3.84956 -1.62102 0.239165 -3.03483 -1.73207 32: 982.46411: 3.84956
-1.62102 0.239165 -3.03483 -1.73207 33: 982.46411: 3.84956 -1.62102
0.239165 -3.03483 -1.73207 34: 982.46411: 3.84956 -1.62102 0.239165
-3.03483 -1.73207 35: 982.46411: 3.84956 -1.62102 0.239165 -3.03483
-1.73207 0: 846.23873: 1.12717 0.278572 1.62294 2.11840 1.90947
2.10587 -2.01840 1.06690 -2.73438 -1.74278 1: 782.57480: 2.06985
0.0299759 1.59547 2.15616 1.94842 2.13149 -2.10865 1.00526 -2.89220
-1.83413 2: 753.61295: 2.70197 -0.340980 1.74779 2.41225 2.12259
2.23448 -2.57180 1.01789 -3.23420 -1.87228 3: 738.10476: 3.29570
-0.299320 2.03785 2.78902 2.40350 2.40852 -2.96785 1.20082 -3.47035
-1.61857 4: 728.66127: 3.31362 -0.914342 2.12930 3.06234 2.68853
2.60813 -3.41552 1.29034 -3.76833 -1.96507 5: 701.68897: 4.04137
-1.01781 2.69656 3.91014 3.76832 3.42789 -3.74032 1.90141 -4.08166
-1.90103 6: 689.12608: 4.84724 -1.55798 3.43921 4.54662 4.49161
4.19576 -3.85503 1.53634 -4.97302 -1.68093 7: 680.34212: 5.36203
-2.02536 3.05587 5.15610 5.16426 5.04233 -4.05659 2.74386 -5.54570
-1.72882 8: 667.22226: 6.08154 -2.37754 4.11778 5.54917 5.86894
6.17563 -4.21197 3.03995 -5.76776 -2.09495 9: 664.47575: 6.06600
-2.42357 4.64402 6.73615 6.65646 6.86680 -4.26329 2.22249 -6.39419
-1.70686 10: 647.69848: 7.74453 -3.47288 5.41815 7.92869 8.85059
9.56958 -4.11881 3.26041 -7.77022 -2.09666 11: 638.93978: 8.79169
-4.18571 6.99604 10.2563 10.1169 11.9327 -4.92184 4.83083 -8.83127
-2.61207 12: 633.33087: 9.53588 -4.77408 8.42878 11.1711 12.9052
13.9993 -5.89202 5.96007 -10.5890 -2.36388 13: 630.45779: 10.7575
-5.38093 9.48786 12.8797 14.3611 15.6814 -6.19947 6.85492 -11.8973
-2.57628 14: 628.17396: 12.0808 -5.93880 11.0813 14.7980 15.8619
17.6309 -6.84669 8.14910 -13.8265 -2.62288 15: 626.38979: 13.3687
-6.31872 12.6906 16.3895 17.1567 18.9418 -7.49507 9.48600 -15.7712
-2.66234 16: 626.07854: 13.3945 -6.28237 12.7024 16.3787 17.1587
18.9391 -7.48857 9.50058 -15.7600 -2.63880 17: 625.49381: 13.4464
-6.21064 12.7259 16.3558 17.1622 18.9335 -7.47575 9.53137 -15.7383
-2.59199 18: 623.67612: 13.6575 -5.93293 12.8203 16.2521 17.1718
18.9085 -7.42601 9.66881 -15.6582 -2.40785 19: 623.63763: 13.6638
-5.92773 12.8224 16.2477 17.1714 18.9074 -7.42498 9.67478 -15.6573
-2.40399 20: 623.34565: 13.7146 -5.88664 12.8388 16.2124 17.1678
18.8985 -7.41682 9.72290 -15.6506 -2.37332 21: 623.34453: 13.7148
-5.88649 12.8388 16.2123 17.1678 18.8985 -7.41679 9.72311 -15.6506
-2.37320 22: 623.34231: 13.7152 -5.88620 12.8390 16.2120 17.1677
18.8984 -7.41673 9.72351 -15.6505 -2.37297 23: 623.34142: 13.7154
-5.88608 12.8390 16.2118 17.1677 18.8984 -7.41671 9.72368 -15.6505
-2.37288 24: 623.33964: 13.7157 -5.88585 12.8391 16.2116 17.1677
18.8983 -7.41666 9.72400 -15.6505 -2.37270 25: 623.33893: 13.7158
-5.88575 12.8392 16.2115 17.1677 18.8983 -7.41664 9.72414 -15.6505
-2.37262 26: 623.33751: 13.7161 -5.88557 12.8392 16.2113 17.1677
18.8982 -7.41660 9.72440 -15.6505 -2.37247 27: 623.33694: 13.7162
-5.88549 12.8393 16.2113 17.1676 18.8982 -7.41659 9.72450 -15.6505
-2.37242 28: 623.33683: 13.7162 -5.88548 12.8393 16.2112 17.1676
18.8982 -7.41659 9.72452 -15.6505 -2.37240 29: 623.33660: 13.7163
-5.88545 12.8393 16.2112 17.1676 18.8982 -7.41658 9.72456 -15.6505
-2.37238 30: 623.33651: 13.7163 -5.88543 12.8393 16.2112 17.1676
18.8982 -7.41658 9.72458 -15.6505 -2.37237 31: 623.33633: 13.7163
-5.88541 12.8393 16.2112 17.1676 18.8982 -7.41657 9.72462 -15.6505
-2.37235 32: 623.33625: 13.7163 -5.88540 12.8393 16.2112 17.1676
18.8982 -7.41657 9.72463 -15.6505 -2.37234 33: 623.33611: 13.7164
-5.88538 12.8393 16.2112 17.1676 18.8982 -7.41657 9.72466 -15.6504
-2.37233 34: 623.33605: 13.7164 -5.88537 12.8393 16.2111 17.1676
18.8982 -7.41657 9.72467 -15.6504 -2.37232 35: 623.33604: 13.7164
-5.88537 12.8393 16.2111 17.1676 18.8982 -7.41657 9.72467 -15.6504
-2.37232 36: 623.33604: 13.7164 -5.88537 12.8393 16.2111 17.1676
18.8982 -7.41657 9.72467 -15.6504 -2.37232 37: 623.33603: 13.7164
-5.88537 12.8393 16.2111 17.1676 18.8982 -7.41657 9.72467 -15.6504
-2.37232 38: 623.33603: 13.7164 -5.88537 12.8393 16.2111 17.1676
18.8982 -7.41657 9.72467 -15.6504 -2.37232 39: 623.33603: 13.7164
-5.88537 12.8393 16.2111 17.1676 18.8982 -7.41657 9.72467 -15.6504
-2.37232 40: 623.33603: 13.7164 -5.88537 12.8393 16.2111 17.1676
18.8982 -7.41657 9.72467 -15.6504 -2.37232 41: 623.33603: 13.7164
-5.88537 12.8393 16.2111 17.1676 18.8982 -7.41657 9.72467 -15.6504
-2.37232 42: 623.33603: 13.7164 -5.88537 12.8393 16.2111 17.1676
18.8982 -7.41657 9.72467 -15.6504 -2.37232 43: 623.33603: 13.7164
-5.88537 12.8393 16.2111 17.1676 18.8982 -7.41657 9.72467 -15.6504
-2.37232 44: 623.33603: 13.7164 -5.88537 12.8393 16.2111 17.1676
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18.8982 -7.41657 9.72467 -15.6504 -2.37232 47: 623.33603: 13.7164
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18.8982 -7.41657 9.72467 -15.6504 -2.37232 49: 623.33603: 13.7164
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18.8982 -7.41657 9.72467 -15.6504 -2.37232 51: 623.33603: 13.7164
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18.8982 -7.41657 9.72467 -15.6504 -2.37232 53: 623.33603: 13.7164
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18.8982 -7.41657 9.72467 -15.6504 -2.37232 55: 623.17193: 13.7182
-5.88422 12.8400 15.9611 17.1676 18.8980 -7.41637 9.72650 -15.6504
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18.8980 -7.41638 9.72686 -15.6507 -2.37116 57: 623.16693: 13.7192
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18.8977 -7.41624 9.72784 -15.6505 -2.37046 63: 623.16519: 13.7196
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18.8977 -7.41624 9.72784 -15.6505 -2.37046 65: 623.16518: 13.7196
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18.8977 -7.41624 9.72784 -15.6505 -2.37046 67: 623.16518: 13.7196
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18.8977 -7.41624 9.72784 -15.6505 -2.37046 81: 623.16518: 13.7196
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18.8977 -7.41624 9.72784 -15.6505 -2.37046 83: 623.16518: 13.7196
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18.8977 -7.41624 9.72784 -15.6505 -2.37046 85: 623.16518: 13.7196
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18.8977 -7.41624 9.72784 -15.6505 -2.37046 87: 623.16518: 13.7196
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18.8977 -7.41624 9.72784 -15.6505 -2.37046 0: 825.98095: 1.12717
-2.41703 1.72745 2.29886 2.38549 2.31902 -2.27887 1.25352 1.44017 1:
768.06345: 2.07624 -2.69053 1.69566 2.34024 2.41265 2.34773 -2.37055
1.17396 1.36650 2: 744.59077: 2.64935 -3.24446 1.82758 2.59452
2.55449 2.46280 -2.86209 1.12221 1.29582 3: 736.99381: 3.31052
-3.04318 2.10131 2.92439 2.77195 2.62569 -3.08356 1.30064 1.72466 4:
716.74511: 3.35950 -3.72313 2.20986 3.22603 3.05744 2.84362 -3.61472
1.44647 1.73457 5: 707.12863: 3.89898 -3.87644 2.51353 3.59176
3.42641 3.14595 -3.75592 1.52247 2.18869 6: 689.81755: 4.12426
-4.92704 2.63166 4.11921 4.40079 4.06922 -3.48138 1.98536 2.86830 7:
683.90531: 4.21462 -5.38729 3.16190 4.39849 4.60220 4.33037 -3.99172
1.87999 2.70646 8: 675.06843: 4.59730 -5.39681 3.42996 4.74518
4.97995 4.86626 -3.96617 2.31903 2.86066 9: 664.23055: 5.07016
-6.40610 3.56999 5.71434 5.74554 5.68005 -4.33364 2.24829 3.45485 10:
652.85574: 5.78110 -8.29863 4.98085 5.94655 7.54105 7.78951 -4.04472
2.82537 4.69931 11: 635.98569: 6.73243 -9.86573 6.01804 7.60838
8.72554 9.99925 -4.38569 4.20022 5.22814 12: 619.31300: 8.70673
-12.4571 7.76927 11.4392 12.0721 14.0201 -3.85823 4.87447 7.80232 13:
613.90764: 8.97979 -12.6322 7.57432 11.2713 12.1345 13.9846 -4.10848
5.48588 7.66889 14: 608.91045: 9.73499 -13.5700 8.10962 11.8333
12.9044 14.5777 -4.50807 6.06720 8.37211 15: 608.87892: 9.74003
-13.5711 8.11291 11.8313 12.9046 14.5771 -4.51043 6.07105 8.37336 16:
608.81647: 9.75010 -13.5733 8.11946 11.8272 12.9050 14.5758 -4.51517
6.07875 8.37587 17: 608.81399: 9.75050 -13.5734 8.11972 11.8271
12.9050 14.5758 -4.51536 6.07906 8.37597 18: 608.79417: 9.75371
-13.5741 8.12181 11.8258 12.9052 14.5754 -4.51690 6.08152 8.37679 19:
608.79338: 9.75384 -13.5742 8.12189 11.8257 12.9052 14.5754 -4.51696
6.08161 8.37682 20: 608.79322: 9.75387 -13.5742 8.12191 11.8257
12.9052 14.5754 -4.51698 6.08163 8.37683 21: 608.79291: 9.75392
-13.5742 8.12194 11.8257 12.9052 14.5753 -4.51700 6.08167 8.37684 22:
608.79278: 9.75394 -13.5742 8.12196 11.8257 12.9052 14.5753 -4.51701
6.08169 8.37684 23: 608.79253: 9.75398 -13.5742 8.12198 11.8257
12.9052 14.5753 -4.51703 6.08172 8.37685 24: 608.79243: 9.75400
-13.5742 8.12199 11.8257 12.9052 14.5753 -4.51704 6.08173 8.37686 25:
608.79223: 9.75403 -13.5742 8.12202 11.8257 12.9052 14.5753 -4.51705
6.08176 8.37687 26: 608.79214: 9.75404 -13.5742 8.12202 11.8257
12.9052 14.5753 -4.51706 6.08177 8.37687 27: 608.79213: 9.75405
-13.5742 8.12203 11.8257 12.9052 14.5753 -4.51706 6.08177 8.37687 28:
608.79210: 9.75405 -13.5742 8.12203 11.8257 12.9052 14.5753 -4.51706
6.08177 8.37687 29: 608.79208: 9.75405 -13.5742 8.12203 11.8257
12.9052 14.5753 -4.51706 6.08178 8.37687 30: 608.79206: 9.75406
-13.5742 8.12203 11.8257 12.9052 14.5753 -4.51707 6.08178 8.37687 31:
608.79205: 9.75406 -13.5742 8.12203 11.8257 12.9052 14.5753 -4.51707
6.08178 8.37687 32: 608.79204: 9.75406 -13.5742 8.12203 11.8257
12.9052 14.5753 -4.51707 6.08178 8.37687 33: 608.79204: 9.75406
-13.5742 8.12203 11.8257 12.9052 14.5753 -4.51707 6.08178 8.37687 34:
608.79203: 9.75406 -13.5742 8.12203 11.8257 12.9052 14.5753 -4.51707
6.08178 8.37688 35: 608.79203: 9.75406 -13.5742 8.12203 11.8257
12.9052 14.5753 -4.51707 6.08178 8.37688 36: 608.79203: 9.75406
-13.5742 8.12204 11.8257 12.9052 14.5753 -4.51707 6.08178 8.37688 37:
608.79203: 9.75406 -13.5742 8.12204 11.8257 12.9052 14.5753 -4.51707
6.08178 8.37688 38: 608.79203: 9.75406 -13.5742 8.12204 11.8257
12.9052 14.5753 -4.51707 6.08178 8.37688 39: 608.79203: 9.75406
-13.5742 8.12204 11.8257 12.9052 14.5753 -4.51707 6.08178 8.37688 40:
608.79203: 9.75406 -13.5742 8.12204 11.8257 12.9052 14.5753 -4.51707
6.08178 8.37688 41: 608.79203: 9.75406 -13.5742 8.12204 11.8257
12.9052 14.5753 -4.51707 6.08178 8.37688 42: 608.79203: 9.75406
-13.5742 8.12204 11.8257 12.9052 14.5753 -4.51707 6.08178 8.37688 43:
608.79203: 9.75406 -13.5742 8.12204 11.8257 12.9052 14.5753 -4.51707
6.08178 8.37688 44: 608.79203: 9.75406 -13.5742 8.12204 11.8257
12.9052 14.5753 -4.51707 6.08178 8.37688 45: 608.79203: 9.75406
-13.5742 8.12204 11.8257 12.9052 14.5753 -4.51707 6.08178 8.37688 46:
608.79203: 9.75406 -13.5742 8.12204 11.8257 12.9052 14.5753 -4.51707
6.08178 8.37688Single term deletions
Model:BinomialOutcome ~ AgeGroup + Sex + Study.Site + (1 | BearID.reformatted)
Df AIC LRT Pr(Chi) <none> 607.20
AgeGroup 6 992.46 397.27 < 2.2e-16 ***Sex 1 643.17 37.97 7.190e-10
***Study.Site 2 626.79 23.60 7.522e-06 ***---Signif. codes: 0 *** 0.001
** 0.01 * 0.05 . 0.1 1 Warning messages:1: In mer_finalize(ans) :
false convergence (8)2: In mer_finalize(ans) : false convergence (8)3: In
mer_finalize(ans) : false convergence (8)>
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