Year: 2019
Species: RedFox
Study Site: Ritter Range
Metadata Summary:
| n_sites | N_detections | rep_period | model_agg_M | iterations | burnin | thin | state_buffer |
|---|---|---|---|---|---|---|---|
| 32 | 3 | 7 days | 300 | 350000 | 20000 | 20 | 2.5 |
WAIC
Models by WAIC:| model | description | WAIC |
|---|---|---|
| sc.fm1 | dot model | 32.60312 |
| sc.fm4.2 | lure + snow + temp + pass | 33.79039 |
| sc.fm5.0 | lure + snow + temp + pass + temp * snow | 34.39736 |
| sc.fm5.1 | lure + snow + temp + pass + lure * snow | 36.05966 |
| sc.fm2.3 | pass | 37.41797 |
| sc.fm4.0 | lure + snow + temp | 37.76164 |
| sc.fm2.1 | snow | 39.15791 |
| sc.fm2.2 | temp | 39.69839 |
| sc.fm3.1 | lure + pass | 40.79371 |
| sc.fm3.0 | lure + snow | 42.22115 |
| sc.fm2.0 | lure | 43.51925 |
Reversible Jump MCMC:
sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow| cov | indicator_mean |
|---|---|
| psi.ind | 0.12883 |
| beta.ind[2] | 0.00976 |
| beta.ind[3] | 0.00903 |
| beta.ind[1] | 0.00164 |
| beta.ind[4] | 0.00073 |
| beta.ind[6] | 0.00073 |
| beta.ind[5] | 0.00024 |
| cov | indicator_mean |
|---|---|
| beta.ind[4] | 0.34661 |
| psi.ind | 0.19690 |
| beta.ind[5] | 0.16200 |
| beta.ind[2] | 0.02982 |
| beta.ind[3] | 0.02521 |
| beta.ind[6] | 0.00279 |
| beta.ind[1] | 0.00224 |
| cov | indicator_mean |
|---|---|
| psi.ind | 0.21837 |
| beta.ind[2] | 0.10909 |
| beta.ind[3] | 0.10709 |
| beta.ind[4] | 0.08588 |
| beta.ind[1] | 0.00418 |
Model summaries:
sc.fm1 summary:
dot model
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 466 | 5.614 | 1.000 | 1.00 | 5.00 | 0 |
| D | 466 | 3.152 | 0.561 | 0.56 | 2.81 | 0 |
| sigma | 16104 | 0.929 | 0.895 | 0.73 | 1.15 | 0 |
| lam0 | 5026 | 0.920 | 0.010 | 0.00 | 2.60 | 0 |
N
D
sigma
lam0
sc.fm2.0 summary:
lure
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 279 | 100.515 | 1.585 | 1.00 | 244.00 | 0.00000 |
| D | 279 | 56.439 | 0.890 | 0.56 | 137.01 | 0.00000 |
| sigma | 16500 | 0.989 | 0.979 | 0.77 | 1.22 | 0.00000 |
| beta0.lam0 | 443 | -6.359 | -7.390 | -9.08 | -3.31 | 0.02006 |
| beta.lam0[1] | 16500 | -0.061 | 0.124 | -1.06 | 0.92 | 0.95165 |
N
D
sigma
beta0.lam0
beta.lam0[1]
sc.fm2.1 summary:
snow
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 309 | 108.808 | 1.877 | 1.00 | 246.00 | 0.00000 |
| D | 309 | 61.095 | 1.054 | 0.56 | 138.13 | 0.00000 |
| sigma | 16500 | 0.994 | 0.992 | 0.77 | 1.22 | 0.00000 |
| beta0.lam0 | 550 | -7.524 | -8.127 | -10.76 | -4.06 | 0.01046 |
| beta.lam0[1] | 15867 | 1.380 | 1.010 | -0.06 | 2.72 | 0.22818 |
N
D
sigma
beta0.lam0
beta.lam0[1]
sc.fm2.2 summary:
temp
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 201 | 94.456 | 1.000 | 1.00 | 247.00 | 0.00000 |
| D | 201 | 53.037 | 0.561 | 0.56 | 138.69 | 0.00000 |
| sigma | 16500 | 0.989 | 0.990 | 0.76 | 1.21 | 0.00000 |
| beta0.lam0 | 330 | -6.403 | -7.839 | -9.91 | -2.56 | 0.03585 |
| beta.lam0[1] | 5149 | 1.183 | 0.901 | -0.07 | 2.45 | 0.33029 |
N
D
sigma
beta0.lam0
beta.lam0[1]
sc.fm2.3 summary:
pass
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 339 | 115.284 | 2.754 | 1.00 | 247.00 | 0.00000 |
| D | 339 | 64.732 | 1.546 | 0.56 | 138.69 | 0.00000 |
| sigma | 16500 | 0.994 | 0.995 | 0.78 | 1.23 | 0.00000 |
| beta0.lam0 | 507 | -6.013 | -6.881 | -8.34 | -3.24 | 0.00849 |
| beta.lam0[1] | 16133 | -81.287 | -12.284 | -161.38 | 0.13 | 0.34389 |
N
D
sigma
beta0.lam0
beta.lam0[1]
sc.fm3.0 summary:
lure + snow
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 283 | 109.472 | 1.292 | 1.00 | 253.00 | 0.00000 |
| D | 283 | 61.468 | 0.726 | 0.56 | 142.06 | 0.00000 |
| sigma | 16500 | 0.993 | 1.001 | 0.77 | 1.22 | 0.00000 |
| beta0.lam0 | 491 | -7.577 | -8.153 | -10.93 | -3.83 | 0.01085 |
| beta.lam0[1] | 4475 | -0.202 | -0.108 | -1.22 | 0.79 | 0.98126 |
| beta.lam0[2] | 14688 | 1.438 | 1.107 | -0.03 | 2.86 | 0.24502 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
sc.fm3.1 summary:
lure + pass
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 287 | 125.166 | 2.461 | 1.00 | 263.00 | 0.00000 |
| D | 287 | 70.280 | 1.382 | 0.56 | 147.67 | 0.00000 |
| sigma | 16500 | 0.995 | 1.002 | 0.78 | 1.22 | 0.00000 |
| beta0.lam0 | 443 | -6.253 | -7.067 | -8.69 | -3.41 | 0.01130 |
| beta.lam0[1] | 16500 | -0.082 | 0.109 | -1.02 | 0.92 | 0.97445 |
| beta.lam0[2] | 14999 | -80.431 | -10.606 | -162.78 | -1.21 | 0.35241 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
sc.fm4.0 summary:
lure + snow + temp
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 250 | 98.502 | 1.292 | 1.00 | 242.00 | 0.00000 |
| D | 250 | 55.309 | 0.726 | 0.56 | 135.88 | 0.00000 |
| sigma | 17256 | 0.988 | 0.986 | 0.76 | 1.21 | 0.00000 |
| beta0.lam0 | 1417 | -14.346 | -12.506 | -22.19 | -6.09 | 0.00219 |
| beta.lam0[1] | 10614 | 0.085 | 0.229 | -1.10 | 1.15 | 0.95611 |
| beta.lam0[2] | 2758 | 4.834 | 3.722 | 1.31 | 8.04 | 0.00908 |
| beta.lam0[3] | 2701 | 6.359 | 5.073 | 1.55 | 10.72 | 0.01583 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
sc.fm4.2 summary:
lure + snow + temp + pass
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 203 | 87.290 | 1.292 | 1.00 | 239.00 | 0.00000 |
| D | 203 | 49.013 | 0.726 | 0.56 | 134.20 | 0.00000 |
| sigma | 16911 | 0.997 | 1.001 | 0.77 | 1.22 | 0.00000 |
| beta0.lam0 | 1290 | -13.552 | -11.947 | -21.43 | -5.44 | 0.00413 |
| beta.lam0[1] | 13406 | 0.065 | 0.178 | -1.13 | 1.13 | 0.97290 |
| beta.lam0[2] | 2630 | 4.885 | 3.739 | 1.29 | 8.12 | 0.01071 |
| beta.lam0[3] | 2507 | 6.328 | 4.883 | 1.49 | 10.78 | 0.01694 |
| beta.lam0[4] | 16500 | -80.627 | -11.178 | -160.95 | -0.13 | 0.33520 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
beta.lam0[4]
sc.fm5.0 summary:
lure + snow + temp + pass + temp * snow
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 192 | 72.605 | 1.000 | 1.00 | 217.00 | 0.00000 |
| D | 192 | 40.767 | 0.561 | 0.56 | 121.85 | 0.00000 |
| sigma | 16500 | 0.997 | 1.000 | 0.77 | 1.21 | 0.00000 |
| beta0.lam0 | 1391 | -12.364 | -10.019 | -20.33 | -3.83 | 0.01117 |
| beta.lam0[1] | 1415 | 0.599 | 0.275 | -1.46 | 2.42 | 0.96052 |
| beta.lam0[2] | 1881 | 3.061 | 2.187 | -1.95 | 9.06 | 0.51931 |
| beta.lam0[3] | 2123 | 5.038 | 2.443 | -0.50 | 10.34 | 0.39187 |
| beta.lam0[4] | 15997 | -79.865 | -10.570 | -159.79 | -0.53 | 0.33493 |
| beta.lam0[5] | 3517 | 2.973 | 2.060 | -2.31 | 8.17 | 0.70796 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
beta.lam0[4]
beta.lam0[5]
sc.fm5.1 summary:
lure + snow + temp + pass + lure * snow
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 267 | 99.236 | 1.000 | 1.00 | 242.00 | 0.00000 |
| D | 267 | 55.721 | 0.561 | 0.56 | 135.88 | 0.00000 |
| sigma | 10789 | 0.992 | 0.985 | 0.77 | 1.22 | 0.00000 |
| beta0.lam0 | 1000 | -16.079 | -13.832 | -25.42 | -6.30 | 0.00975 |
| beta.lam0[1] | 561 | -1.267 | -1.394 | -7.49 | 5.59 | 0.72262 |
| beta.lam0[2] | 1740 | 5.839 | 4.413 | 1.91 | 9.67 | 0.00539 |
| beta.lam0[3] | 1780 | 7.777 | 6.546 | 2.34 | 13.00 | 0.01073 |
| beta.lam0[4] | 16500 | -80.725 | -14.000 | -161.79 | -0.34 | 0.36614 |
| beta.lam0[5] | 542 | 1.097 | 1.485 | -3.61 | 5.41 | 0.54308 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
beta.lam0[4]
beta.lam0[5]
