Year: 2019
Species: WhiteTailedJackrabbit
Study Site: Ritter Range
Metadata Summary:
| n_sites | N_detections | rep_period | model_agg_M | iterations | burnin | thin | state_buffer |
|---|---|---|---|---|---|---|---|
| 32 | 104 | 7 days | 300 | 350000 | 20000 | 20 | 2.5 |
WAIC
Models by WAIC:| model | description | WAIC |
|---|---|---|
| sc.fm5.0 | lure + snow + temp + pass + temp * snow | 502.8138 |
| sc.fm2.2 | temp | 543.4455 |
| sc.fm4.0 | lure + snow + temp | 549.4195 |
| sc.fm5.1 | lure + snow + temp + pass + lure * snow | 550.6744 |
| sc.fm4.2 | lure + snow + temp + pass | 552.2487 |
| sc.fm1 | dot model | 557.3899 |
| sc.fm2.3 | pass | 559.7466 |
| sc.fm2.0 | lure | 560.3249 |
| sc.fm2.1 | snow | 561.0120 |
| sc.fm3.1 | lure + pass | 562.5737 |
| sc.fm3.0 | lure + snow | 564.0933 |
Reversible Jump MCMC:
sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow| cov | indicator_mean |
|---|---|
| beta.ind[2] | 1.00000 |
| beta.ind[3] | 1.00000 |
| beta.ind[5] | 1.00000 |
| psi.ind | 0.50162 |
| beta.ind[1] | 0.00242 |
| beta.ind[4] | 0.00000 |
| beta.ind[6] | 0.00000 |
| cov | indicator_mean |
|---|---|
| beta.ind[5] | 1.00000 |
| beta.ind[3] | 0.98782 |
| psi.ind | 0.38849 |
| beta.ind[2] | 0.09685 |
| beta.ind[4] | 0.00545 |
| beta.ind[6] | 0.00255 |
| beta.ind[1] | 0.00152 |
| cov | indicator_mean |
|---|---|
| beta.ind[3] | 0.64461 |
| psi.ind | 0.27384 |
| beta.ind[1] | 0.00212 |
| beta.ind[2] | 0.00103 |
| 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 | 415 | 50.034 | 21.741 | 9.00 | 96.0 | 0 |
| D | 415 | 28.094 | 12.207 | 5.05 | 53.9 | 0 |
| sigma | 608 | 0.354 | 0.400 | 0.19 | 0.5 | 0 |
| lam0 | 3814 | 1.073 | 0.775 | 0.37 | 1.7 | 0 |
N
D
sigma
lam0
sc.fm2.0 summary:
lure
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 323 | 53.264 | 23.612 | 11.00 | 108.00 | 0.00000 |
| D | 323 | 29.907 | 13.258 | 5.61 | 60.08 | 0.00000 |
| sigma | 515 | 0.360 | 0.418 | 0.19 | 0.52 | 0.00000 |
| beta0.lam0 | 4195 | -0.234 | -0.317 | -0.85 | 0.39 | 0.67113 |
| beta.lam0[1] | 17153 | -0.046 | -0.047 | -0.24 | 0.15 | 0.95420 |
N
D
sigma
beta0.lam0
beta.lam0[1]
sc.fm2.1 summary:
snow
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 387 | 53.198 | 22.381 | 10.00 | 104.00 | 0.00000 |
| D | 387 | 29.871 | 12.567 | 5.61 | 58.40 | 0.00000 |
| sigma | 652 | 0.357 | 0.421 | 0.19 | 0.51 | 0.00000 |
| beta0.lam0 | 3948 | -0.223 | -0.293 | -0.86 | 0.41 | 0.66468 |
| beta.lam0[1] | 17058 | 0.028 | 0.033 | -0.14 | 0.18 | 0.93151 |
N
D
sigma
beta0.lam0
beta.lam0[1]
sc.fm2.2 summary:
temp
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 348 | 57.971 | 22.180 | 11.00 | 117.00 | 0.00000 |
| D | 348 | 32.550 | 12.454 | 6.18 | 65.70 | 0.00000 |
| sigma | 528 | 0.353 | 0.403 | 0.18 | 0.51 | 0.00000 |
| beta0.lam0 | 5206 | -0.466 | -0.505 | -1.14 | 0.13 | 0.39902 |
| beta.lam0[1] | 16500 | -0.471 | -0.465 | -0.65 | -0.29 | 0.00000 |
N
D
sigma
beta0.lam0
beta.lam0[1]
sc.fm2.3 summary:
pass
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 455 | 53.513 | 21.519 | 11.00 | 104.00 | 0.00000 |
| D | 455 | 30.048 | 12.083 | 6.18 | 58.40 | 0.00000 |
| sigma | 704 | 0.360 | 0.420 | 0.18 | 0.51 | 0.00000 |
| beta0.lam0 | 3779 | -0.184 | -0.252 | -0.85 | 0.42 | 0.74569 |
| beta.lam0[1] | 7255 | -0.329 | -0.465 | -1.34 | 0.59 | 0.74913 |
N
D
sigma
beta0.lam0
beta.lam0[1]
sc.fm3.0 summary:
lure + snow
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 344 | 55.701 | 21.321 | 10.00 | 114.00 | 0.00000 |
| D | 344 | 31.276 | 11.971 | 5.61 | 64.01 | 0.00000 |
| sigma | 563 | 0.354 | 0.413 | 0.16 | 0.50 | 0.00000 |
| beta0.lam0 | 4076 | -0.236 | -0.287 | -0.87 | 0.38 | 0.63125 |
| beta.lam0[1] | 15689 | -0.065 | -0.058 | -0.27 | 0.13 | 0.91152 |
| beta.lam0[2] | 15698 | 0.045 | 0.040 | -0.13 | 0.21 | 0.90174 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
sc.fm3.1 summary:
lure + pass
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 292 | 57.067 | 23.531 | 11.00 | 119.00 | 0.00000 |
| D | 292 | 32.043 | 13.212 | 6.18 | 66.82 | 0.00000 |
| sigma | 569 | 0.356 | 0.403 | 0.17 | 0.51 | 0.00000 |
| beta0.lam0 | 4930 | -0.191 | -0.278 | -0.85 | 0.42 | 0.73745 |
| beta.lam0[1] | 16500 | -0.046 | -0.037 | -0.24 | 0.14 | 0.94172 |
| beta.lam0[2] | 7974 | -0.336 | -0.457 | -1.32 | 0.61 | 0.77126 |
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 | 330 | 54.178 | 21.321 | 10.00 | 105.00 | 0.00000 |
| D | 330 | 30.421 | 11.971 | 5.61 | 58.96 | 0.00000 |
| sigma | 596 | 0.362 | 0.421 | 0.19 | 0.52 | 0.00000 |
| beta0.lam0 | 5035 | -0.506 | -0.589 | -1.16 | 0.11 | 0.36486 |
| beta.lam0[1] | 16500 | -0.215 | -0.208 | -0.46 | 0.02 | 0.38867 |
| beta.lam0[2] | 15945 | -0.046 | -0.031 | -0.23 | 0.14 | 0.97156 |
| beta.lam0[3] | 16091 | -0.547 | -0.544 | -0.74 | -0.34 | 0.00039 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
sc.fm4.2 summary:
lure + snow + temp + pass
summary table
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 350 | 63.411 | 23.898 | 11.00 | 136.00 | 0.00000 |
| D | 350 | 35.605 | 13.419 | 6.18 | 76.36 | 0.00000 |
| sigma | 520 | 0.342 | 0.400 | 0.16 | 0.50 | 0.00000 |
| beta0.lam0 | 5542 | -0.480 | -0.532 | -1.12 | 0.19 | 0.40069 |
| beta.lam0[1] | 16000 | -0.223 | -0.203 | -0.47 | 0.03 | 0.36575 |
| beta.lam0[2] | 16500 | -0.031 | -0.036 | -0.23 | 0.16 | 0.98198 |
| beta.lam0[3] | 16500 | -0.544 | -0.551 | -0.75 | -0.35 | 0.00000 |
| beta.lam0[4] | 8618 | -0.095 | -0.252 | -1.15 | 0.96 | 0.94289 |
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 | 256 | 66.541 | 23.818 | 10.00 | 141.00 | 0.00000 |
| D | 256 | 37.362 | 13.374 | 5.61 | 79.17 | 0.00000 |
| sigma | 476 | 0.328 | 0.389 | 0.15 | 0.49 | 0.00000 |
| beta0.lam0 | 4384 | -0.576 | -0.613 | -1.32 | 0.09 | 0.30438 |
| beta.lam0[1] | 16500 | -0.101 | -0.084 | -0.35 | 0.15 | 0.85773 |
| beta.lam0[2] | 16500 | 0.458 | 0.467 | 0.21 | 0.70 | 0.01017 |
| beta.lam0[3] | 16500 | -0.807 | -0.813 | -1.05 | -0.55 | 0.00000 |
| beta.lam0[4] | 7415 | -0.089 | -0.179 | -1.24 | 0.93 | 0.95576 |
| beta.lam0[5] | 16500 | 1.129 | 1.103 | 0.85 | 1.41 | 0.00000 |
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
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.
## Warning: Identical densities found along different segments of the distribution,
## choosing rightmost.| param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
|---|---|---|---|---|---|---|
| N | 355 | 63.143 | 22.753 | 11.00 | 132.00 | 0.00000 |
| D | 355 | 35.455 | 12.776 | 6.18 | 74.12 | 0.00000 |
| sigma | 612 | 0.346 | 0.401 | 0.16 | 0.50 | 0.00000 |
| beta0.lam0 | 4744 | -0.413 | -0.446 | -1.10 | 0.24 | 0.50414 |
| beta.lam0[1] | 15973 | -0.118 | -0.110 | -0.32 | 0.10 | 0.70985 |
| beta.lam0[2] | 15298 | -0.049 | -0.036 | -0.23 | 0.15 | 0.92357 |
| beta.lam0[3] | 15418 | -0.541 | -0.531 | -0.74 | -0.34 | 0.00000 |
| beta.lam0[4] | 8785 | -0.336 | -0.337 | -1.42 | 0.66 | 0.82014 |
| beta.lam0[5] | 16500 | -0.275 | -0.278 | -0.46 | -0.09 | 0.05739 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
beta.lam0[4]
beta.lam0[5]
