Year: 2017
Species: AmericanBadger
Study Site: Humphreys Basin
Metadata Summary:
| n_sites | N_detections | rep_period | model_agg_M | iterations | burnin | thin | state_buffer |
|---|---|---|---|---|---|---|---|
| 31 | 11 | 7 days | 300 | 350000 | 20000 | 20 | 2.5 |
WAIC
Models by WAIC:| model | description | WAIC |
|---|---|---|
| sc.fm1 | dot model | 104.0561 |
| sc.fm2.1 | snow | 109.1577 |
| sc.fm2.2 | temp | 109.2098 |
| sc.fm2.0 | lure | 110.2546 |
| sc.fm3.1 | lure + pass | 112.1012 |
| sc.fm3.0 | lure + snow | 112.6030 |
| sc.fm4.0 | lure + snow + temp | 115.1258 |
| sc.fm4.2 | lure + snow + temp + pass | 116.5753 |
| sc.fm2.3 | pass | 117.3827 |
| sc.fm5.1 | lure + snow + temp + pass + lure * snow | 118.9266 |
| sc.fm5.0 | lure + snow + temp + pass + temp * snow | 119.7704 |
Reversible Jump MCMC:
sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow| cov | indicator_mean |
|---|---|
| psi.ind | 0.12659 |
| beta.ind[1] | 0.00109 |
| beta.ind[2] | 0.00109 |
| beta.ind[3] | 0.00048 |
| beta.ind[4] | 0.00000 |
| beta.ind[5] | 0.00000 |
| beta.ind[6] | 0.00000 |
| cov | indicator_mean |
|---|---|
| psi.ind | 0.12599 |
| beta.ind[4] | 0.00467 |
| beta.ind[5] | 0.00097 |
| beta.ind[1] | 0.00085 |
| beta.ind[6] | 0.00073 |
| beta.ind[2] | 0.00048 |
| beta.ind[3] | 0.00048 |
| cov | indicator_mean |
|---|---|
| psi.ind | 0.16745 |
| beta.ind[1] | 0.00200 |
| beta.ind[3] | 0.00085 |
| beta.ind[2] | 0.00079 |
| 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 | 474 | 19.664 | 2.169 | 1.00 | 43.00 | 0 |
| D | 474 | 11.883 | 1.311 | 0.60 | 25.99 | 0 |
| sigma | 1365 | 1.190 | 1.392 | 0.37 | 1.88 | 0 |
| lam0 | 8166 | 0.087 | 0.053 | 0.00 | 0.16 | 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 | 300 | 68.917 | 2.754 | 1.00 | 210.00 | 0.00000 |
| D | 300 | 41.647 | 1.664 | 0.60 | 126.90 | 0.00000 |
| sigma | 4240 | 1.185 | 1.256 | 0.53 | 1.85 | 0.00164 |
| beta0.lam0 | 565 | -4.450 | -3.283 | -6.92 | -2.29 | 0.00000 |
| beta.lam0[1] | 15704 | -0.509 | -0.296 | -1.21 | 0.25 | 0.71820 |
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 | 350 | 61.877 | 2.754 | 1.00 | 186.00 | 0.00000 |
| D | 350 | 37.392 | 1.664 | 0.60 | 112.40 | 0.00000 |
| sigma | 4729 | 1.206 | 1.267 | 0.52 | 1.82 | 0.00096 |
| beta0.lam0 | 549 | -4.331 | -3.121 | -6.79 | -2.25 | 0.00002 |
| beta.lam0[1] | 16500 | 0.253 | 0.301 | -0.20 | 0.72 | 0.65094 |
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 | 328 | 65.267 | 2.754 | 1.00 | 198.00 | 0.00000 |
| D | 328 | 39.441 | 1.664 | 0.60 | 119.65 | 0.00000 |
| sigma | 3681 | 1.192 | 1.255 | 0.48 | 1.81 | 0.00163 |
| beta0.lam0 | 492 | -4.267 | -3.082 | -6.73 | -2.14 | 0.00000 |
| beta.lam0[1] | 15990 | -0.087 | -0.025 | -0.58 | 0.44 | 0.99546 |
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 | 268 | 68.997 | 1.877 | 1.00 | 218.00 | 0.00000 |
| D | 268 | 41.695 | 1.134 | 0.60 | 131.74 | 0.00000 |
| sigma | 2641 | 1.225 | 1.319 | 0.57 | 1.88 | 0.00093 |
| beta0.lam0 | 410 | -4.027 | -3.000 | -6.80 | -1.75 | 0.00444 |
| beta.lam0[1] | 12544 | -11.630 | -1.124 | -14.48 | 2.07 | 0.43578 |
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 | 87.128 | 3.338 | 1.00 | 232.00 | 0.00000 |
| D | 307 | 52.652 | 2.017 | 0.60 | 140.20 | 0.00000 |
| sigma | 4370 | 1.168 | 1.253 | 0.50 | 1.79 | 0.00135 |
| beta0.lam0 | 513 | -4.849 | -3.458 | -7.27 | -2.53 | 0.00000 |
| beta.lam0[1] | 14560 | -0.511 | -0.300 | -1.22 | 0.22 | 0.67785 |
| beta.lam0[2] | 16500 | 0.267 | 0.283 | -0.18 | 0.74 | 0.62406 |
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 | 303 | 72.148 | 2.461 | 1.00 | 215.00 | 0.00000 |
| D | 303 | 43.599 | 1.487 | 0.60 | 129.93 | 0.00000 |
| sigma | 3065 | 1.208 | 1.248 | 0.57 | 1.86 | 0.00089 |
| beta0.lam0 | 475 | -4.263 | -3.206 | -6.85 | -1.86 | 0.00313 |
| beta.lam0[1] | 13007 | -0.523 | -0.401 | -1.23 | 0.22 | 0.69165 |
| beta.lam0[2] | 16500 | -1.749 | -1.320 | -3.75 | 0.30 | 0.41069 |
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 | 400 | 77.087 | 3.046 | 1.00 | 210.00 | 0.00000 |
| D | 400 | 46.584 | 1.841 | 0.60 | 126.90 | 0.00000 |
| sigma | 4869 | 1.169 | 1.262 | 0.49 | 1.78 | 0.00130 |
| beta0.lam0 | 746 | -4.785 | -3.451 | -7.24 | -2.56 | 0.00072 |
| beta.lam0[1] | 12676 | -0.576 | -0.336 | -1.34 | 0.23 | 0.67897 |
| beta.lam0[2] | 15148 | 0.259 | 0.262 | -0.19 | 0.75 | 0.67632 |
| beta.lam0[3] | 16500 | -0.117 | -0.117 | -0.70 | 0.49 | 0.96125 |
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 | 307 | 78.555 | 2.461 | 1.00 | 222.00 | 0.00000 |
| D | 307 | 47.471 | 1.487 | 0.60 | 134.16 | 0.00000 |
| sigma | 2989 | 1.201 | 1.251 | 0.57 | 1.83 | 0.00076 |
| beta0.lam0 | 468 | -4.585 | -3.262 | -7.11 | -2.15 | 0.00259 |
| beta.lam0[1] | 14121 | -0.596 | -0.425 | -1.37 | 0.19 | 0.60777 |
| beta.lam0[2] | 13150 | 0.260 | 0.264 | -0.20 | 0.75 | 0.67667 |
| beta.lam0[3] | 16500 | -0.115 | -0.074 | -0.73 | 0.47 | 0.96722 |
| beta.lam0[4] | 16123 | -1.738 | -1.246 | -3.66 | 0.38 | 0.45678 |
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 | 304 | 79.634 | 2.461 | 1.00 | 228.00 | 0.00000 |
| D | 304 | 48.123 | 1.487 | 0.60 | 137.78 | 0.00000 |
| sigma | 3542 | 1.199 | 1.267 | 0.53 | 1.82 | 0.00157 |
| beta0.lam0 | 474 | -4.590 | -3.395 | -7.22 | -2.16 | 0.00234 |
| beta.lam0[1] | 12333 | -0.602 | -0.356 | -1.39 | 0.22 | 0.62159 |
| beta.lam0[2] | 14654 | 0.244 | 0.243 | -0.25 | 0.76 | 0.67267 |
| beta.lam0[3] | 16014 | -0.121 | -0.082 | -0.77 | 0.52 | 0.96448 |
| beta.lam0[4] | 16126 | -1.758 | -1.263 | -3.79 | 0.32 | 0.41529 |
| beta.lam0[5] | 16500 | 0.038 | 0.073 | -0.75 | 0.82 | 0.98906 |
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 | 310 | 81.850 | 2.461 | 1.00 | 228.00 | 0.00000 |
| D | 310 | 49.462 | 1.487 | 0.60 | 137.78 | 0.00000 |
| sigma | 4091 | 1.187 | 1.240 | 0.52 | 1.80 | 0.00134 |
| beta0.lam0 | 466 | -4.707 | -3.366 | -7.23 | -2.27 | 0.00048 |
| beta.lam0[1] | 16500 | -0.749 | -0.524 | -1.59 | 0.14 | 0.46551 |
| beta.lam0[2] | 16500 | 0.195 | 0.295 | -0.36 | 0.78 | 0.80797 |
| beta.lam0[3] | 16500 | -0.146 | -0.194 | -0.74 | 0.47 | 0.96044 |
| beta.lam0[4] | 16500 | -1.754 | -1.358 | -3.77 | 0.35 | 0.44032 |
| beta.lam0[5] | 14160 | -0.135 | -0.107 | -0.88 | 0.60 | 0.96090 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
beta.lam0[4]
beta.lam0[5]
