Year: 2017
Species: AmericanBlackBear
Study Site: Humphreys Basin
Metadata Summary:
| n_sites | N_detections | rep_period | model_agg_M | iterations | burnin | thin | state_buffer |
|---|---|---|---|---|---|---|---|
| 31 | 5 | 7 days | 300 | 350000 | 20000 | 20 | 2.5 |
WAIC
Models by WAIC:| model | description | WAIC |
|---|---|---|
| sc.fm2.0 | lure | 52.55212 |
| sc.fm3.0 | lure + snow | 52.69992 |
| sc.fm3.1 | lure + pass | 53.25891 |
| sc.fm4.0 | lure + snow + temp | 55.24470 |
| sc.fm1 | dot model | 55.64534 |
| sc.fm4.2 | lure + snow + temp + pass | 56.12091 |
| sc.fm5.1 | lure + snow + temp + pass + lure * snow | 57.49801 |
| sc.fm5.0 | lure + snow + temp + pass + temp * snow | 58.53954 |
| sc.fm2.1 | snow | 61.89021 |
| sc.fm2.2 | temp | 63.54343 |
| sc.fm2.3 | pass | 64.64268 |
Reversible Jump MCMC:
sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow| cov | indicator_mean |
|---|---|
| beta.ind[1] | 0.24618 |
| psi.ind | 0.15810 |
| beta.ind[2] | 0.01012 |
| beta.ind[6] | 0.00188 |
| beta.ind[3] | 0.00097 |
| beta.ind[4] | 0.00000 |
| beta.ind[5] | 0.00000 |
| cov | indicator_mean |
|---|---|
| beta.ind[6] | 0.38327 |
| psi.ind | 0.19677 |
| beta.ind[1] | 0.15933 |
| beta.ind[2] | 0.01061 |
| beta.ind[4] | 0.00576 |
| beta.ind[3] | 0.00212 |
| beta.ind[5] | 0.00194 |
| cov | indicator_mean |
|---|---|
| beta.ind[1] | 0.32830 |
| psi.ind | 0.22603 |
| beta.ind[2] | 0.01794 |
| beta.ind[3] | 0.00236 |
| beta.ind[4] | 0.00000 |
Model summaries:
sc.fm1 summary:
dot model
summary table
| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 916 | 4.075 | 1.000 | 1.00 | 4.00 | 0 |
| D | 916 | 2.462 | 0.604 | 0.60 | 2.42 | 0 |
| sigma | 16500 | 2.259 | 2.238 | 1.85 | 2.69 | 0 |
| lam0 | 7411 | 0.056 | 0.036 | 0.00 | 0.11 | 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 | 349 | 120.388 | 1.585 | 1.00 | 255.00 | 0.00000 |
| D | 349 | 72.751 | 0.958 | 0.60 | 154.10 | 0.00000 |
| sigma | 16500 | 2.284 | 2.307 | 1.85 | 2.70 | 0.00000 |
| beta0.lam0 | 474 | -8.395 | -9.151 | -11.07 | -5.04 | 0.00000 |
| beta.lam0[1] | 16500 | 1.018 | 0.960 | 0.57 | 1.48 | 0.00158 |
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 | 296 | 107.515 | 1.292 | 1.00 | 254.00 | 0.00000 |
| D | 296 | 64.972 | 0.781 | 0.60 | 153.49 | 0.00000 |
| sigma | 16866 | 2.280 | 2.268 | 1.86 | 2.71 | 0.00000 |
| beta0.lam0 | 448 | -8.160 | -9.031 | -11.26 | -3.69 | 0.00000 |
| beta.lam0[1] | 12660 | -2.335 | -1.529 | -4.60 | -0.12 | 0.19973 |
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 | 324 | 111.830 | 1.292 | 1.00 | 258.00 | 0.00000 |
| D | 324 | 67.580 | 0.781 | 0.60 | 155.91 | 0.00000 |
| sigma | 16500 | 2.283 | 2.299 | 1.85 | 2.70 | 0.00000 |
| beta0.lam0 | 387 | -7.107 | -8.512 | -9.65 | -3.58 | 0.00000 |
| beta.lam0[1] | 16500 | 0.285 | 0.239 | -0.46 | 1.01 | 0.85194 |
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 | 200 | 80.904 | 1.000 | 1.00 | 231.00 | 0.00000 |
| D | 200 | 48.891 | 0.604 | 0.60 | 139.59 | 0.00000 |
| sigma | 16500 | 2.273 | 2.295 | 1.86 | 2.69 | 0.00000 |
| beta0.lam0 | 209 | -6.363 | -8.588 | -9.38 | -2.71 | 0.00000 |
| beta.lam0[1] | 3696 | 1.062 | 1.127 | -0.92 | 3.09 | 0.68156 |
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 | 307 | 117.061 | 1.585 | 1.00 | 259.00 | 0.00000 |
| D | 307 | 70.741 | 0.958 | 0.60 | 156.52 | 0.00000 |
| sigma | 16500 | 2.283 | 2.254 | 1.84 | 2.70 | 0.00000 |
| beta0.lam0 | 547 | -9.159 | -9.505 | -12.26 | -5.31 | 0.00000 |
| beta.lam0[1] | 15736 | 0.895 | 0.849 | 0.44 | 1.31 | 0.00429 |
| beta.lam0[2] | 13327 | -1.824 | -0.971 | -3.82 | 0.16 | 0.37625 |
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 | 258 | 94.653 | 1.000 | 1.00 | 244.00 | 0.00000 |
| D | 258 | 57.199 | 0.604 | 0.60 | 147.45 | 0.00000 |
| sigma | 16500 | 2.276 | 2.265 | 1.86 | 2.71 | 0.00000 |
| beta0.lam0 | 364 | -8.125 | -9.402 | -11.32 | -4.26 | 0.00000 |
| beta.lam0[1] | 15219 | 1.044 | 1.005 | 0.59 | 1.49 | 0.00129 |
| beta.lam0[2] | 2871 | 1.382 | 1.258 | -0.55 | 3.25 | 0.44529 |
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 | 380 | 129.143 | 1.877 | 1.00 | 259.00 | 0.00000 |
| D | 380 | 78.042 | 1.134 | 0.60 | 156.52 | 0.00000 |
| sigma | 16500 | 2.286 | 2.283 | 1.87 | 2.72 | 0.00000 |
| beta0.lam0 | 837 | -9.670 | -9.863 | -12.96 | -6.29 | 0.00000 |
| beta.lam0[1] | 16500 | 0.952 | 0.900 | 0.48 | 1.42 | 0.00220 |
| beta.lam0[2] | 13739 | -1.763 | -0.885 | -3.86 | 0.26 | 0.48646 |
| beta.lam0[3] | 16061 | 0.210 | 0.267 | -0.65 | 1.13 | 0.90866 |
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 | 315 | 104.926 | 1.000 | 1.00 | 249.00 | 0.00000 |
| D | 315 | 63.407 | 0.604 | 0.60 | 150.47 | 0.00000 |
| sigma | 16828 | 2.277 | 2.314 | 1.85 | 2.71 | 0.00000 |
| beta0.lam0 | 413 | -9.507 | -10.471 | -12.97 | -5.01 | 0.00000 |
| beta.lam0[1] | 15492 | 1.003 | 0.907 | 0.50 | 1.48 | 0.00326 |
| beta.lam0[2] | 13302 | -1.634 | -1.035 | -3.63 | 0.46 | 0.60592 |
| beta.lam0[3] | 16268 | 0.322 | 0.264 | -0.60 | 1.31 | 0.86083 |
| beta.lam0[4] | 3656 | 1.351 | 1.268 | -0.52 | 3.27 | 0.46393 |
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 | 307 | 113.061 | 1.292 | 1.00 | 256.00 | 0.00000 |
| D | 307 | 68.324 | 0.781 | 0.60 | 154.70 | 0.00000 |
| sigma | 16500 | 2.279 | 2.282 | 1.87 | 2.72 | 0.00000 |
| beta0.lam0 | 598 | -10.278 | -10.728 | -14.12 | -5.62 | 0.00000 |
| beta.lam0[1] | 12637 | 0.978 | 0.951 | 0.48 | 1.46 | 0.00285 |
| beta.lam0[2] | 9329 | -2.483 | -1.259 | -5.15 | 0.30 | 0.41275 |
| beta.lam0[3] | 11601 | 1.326 | 0.983 | -0.87 | 3.52 | 0.63792 |
| beta.lam0[4] | 3368 | 1.324 | 1.172 | -0.52 | 3.28 | 0.50381 |
| beta.lam0[5] | 12419 | 1.561 | 1.117 | -1.32 | 4.53 | 0.79173 |
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 | 278 | 105.115 | 1.000 | 1.00 | 255.00 | 0.00000 |
| D | 278 | 63.521 | 0.604 | 0.60 | 154.10 | 0.00000 |
| sigma | 16500 | 2.277 | 2.282 | 1.86 | 2.70 | 0.00000 |
| beta0.lam0 | 581 | -10.325 | -10.753 | -14.62 | -5.62 | 0.00000 |
| beta.lam0[1] | 3532 | -1.072 | 0.517 | -4.02 | 1.65 | 0.91215 |
| beta.lam0[2] | 4396 | -2.662 | -1.453 | -5.77 | 0.49 | 0.49762 |
| beta.lam0[3] | 16004 | 0.286 | 0.328 | -0.71 | 1.34 | 0.88256 |
| beta.lam0[4] | 3136 | 1.297 | 1.168 | -0.59 | 3.18 | 0.50156 |
| beta.lam0[5] | 3471 | -2.490 | -0.774 | -5.87 | 0.68 | 0.68888 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
beta.lam0[4]
beta.lam0[5]
