n_sites | N_detections | rep_period | model_agg_M | iterations | burnin | thin | state_buffer |
---|---|---|---|---|---|---|---|
32 | 26 | 7 days | 300 | 350000 | 20000 | 20 | 2.5 |
model | description | WAIC |
---|---|---|
sc.fm2.2 | temp | 184.8314 |
sc.fm4.0 | lure + snow + temp | 186.2686 |
sc.fm4.2 | lure + snow + temp + pass | 186.7731 |
sc.fm5.1 | lure + snow + temp + pass + lure * snow | 186.9352 |
sc.fm5.0 | lure + snow + temp + pass + temp * snow | 187.0641 |
sc.fm2.1 | snow | 187.4755 |
sc.fm3.0 | lure + snow | 191.2103 |
sc.fm1 | dot model | 194.1884 |
sc.fm2.3 | pass | 196.7630 |
sc.fm2.0 | lure | 200.0865 |
sc.fm3.1 | lure + pass | 200.5594 |
cov | indicator_mean |
---|---|
beta.ind[2] | 0.96394 |
psi.ind | 0.24782 |
beta.ind[3] | 0.01000 |
beta.ind[1] | 0.00048 |
beta.ind[5] | 0.00006 |
beta.ind[4] | 0.00000 |
beta.ind[6] | 0.00000 |
cov | indicator_mean |
---|---|
beta.ind[2] | 0.96321 |
psi.ind | 0.24636 |
beta.ind[3] | 0.01115 |
beta.ind[4] | 0.00327 |
beta.ind[5] | 0.00236 |
beta.ind[1] | 0.00079 |
beta.ind[6] | 0.00079 |
cov | indicator_mean |
---|---|
beta.ind[2] | 0.97279 |
psi.ind | 0.32967 |
beta.ind[3] | 0.01558 |
beta.ind[1] | 0.00121 |
beta.ind[4] | 0.00006 |
dot model
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 691 | 193.352 | 275.705 | 105.00 | 300.00 | 0 |
D | 691 | 108.567 | 154.808 | 58.96 | 168.45 | 0 |
sigma | 1515 | 0.135 | 0.125 | 0.09 | 0.18 | 0 |
lam0 | 3682 | 0.674 | 0.237 | 0.08 | 1.38 | 0 |
lure
## 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 | 820 | 200.537 | 264.944 | 114.00 | 300.00 | 0.00000 |
D | 820 | 112.601 | 148.766 | 64.01 | 168.45 | 0.00000 |
sigma | 2339 | 0.143 | 0.132 | 0.09 | 0.19 | 0.00000 |
beta0.lam0 | 5942 | -1.288 | -1.459 | -2.34 | -0.37 | 0.11493 |
beta.lam0[1] | 16500 | 0.009 | 0.036 | -0.29 | 0.28 | 0.98252 |
snow
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 850 | 202.644 | 253.284 | 118.00 | 300.00 | 0.00000 |
D | 850 | 113.784 | 142.219 | 66.26 | 168.45 | 0.00000 |
sigma | 2938 | 0.163 | 0.153 | 0.11 | 0.21 | 0.00000 |
beta0.lam0 | 5270 | -3.536 | -3.425 | -5.18 | -1.91 | 0.00402 |
beta.lam0[1] | 6158 | -2.681 | -2.258 | -4.16 | -1.03 | 0.00000 |
temp
## 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 | 860 | 207.121 | 278.037 | 123.00 | 300.00 | 0.00000 |
D | 860 | 116.298 | 156.117 | 69.06 | 168.45 | 0.00000 |
sigma | 2479 | 0.139 | 0.130 | 0.09 | 0.18 | 0.00000 |
beta0.lam0 | 6387 | -1.584 | -1.653 | -2.66 | -0.60 | 0.06718 |
beta.lam0[1] | 16500 | 0.781 | 0.726 | 0.42 | 1.18 | 0.00346 |
pass
## 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 | 802 | 194.523 | 221.747 | 107.00 | 300.00 | 0.00000 |
D | 802 | 109.224 | 124.510 | 60.08 | 168.45 | 0.00000 |
sigma | 2279 | 0.140 | 0.126 | 0.09 | 0.19 | 0.00000 |
beta0.lam0 | 5078 | -1.167 | -1.323 | -2.42 | -0.06 | 0.23768 |
beta.lam0[1] | 4074 | 0.438 | 0.141 | -1.38 | 2.13 | 0.97056 |
lure + snow
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 805 | 204.419 | 233.763 | 119.00 | 300.00 | 0.00000 |
D | 805 | 114.781 | 131.258 | 66.82 | 168.45 | 0.00000 |
sigma | 2640 | 0.164 | 0.153 | 0.11 | 0.22 | 0.00000 |
beta0.lam0 | 5564 | -3.576 | -3.402 | -5.15 | -1.93 | 0.00199 |
beta.lam0[1] | 16500 | 0.075 | 0.115 | -0.18 | 0.36 | 0.88223 |
beta.lam0[2] | 6477 | -2.687 | -2.308 | -4.23 | -1.12 | 0.00000 |
lure + pass
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 712 | 192.730 | 207.981 | 104.00 | 300.00 | 0.00000 |
D | 712 | 108.217 | 116.781 | 58.40 | 168.45 | 0.00000 |
sigma | 1944 | 0.141 | 0.136 | 0.09 | 0.19 | 0.00000 |
beta0.lam0 | 4487 | -1.193 | -1.344 | -2.47 | -0.04 | 0.22960 |
beta.lam0[1] | 16500 | 0.006 | 0.023 | -0.28 | 0.29 | 0.98107 |
beta.lam0[2] | 3433 | 0.450 | 0.260 | -1.42 | 2.14 | 0.97381 |
lure + snow + temp
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 747 | 208.535 | 279.674 | 123.00 | 300.00 | 0.00000 |
D | 747 | 117.092 | 157.036 | 69.06 | 168.45 | 0.00000 |
sigma | 3035 | 0.152 | 0.142 | 0.10 | 0.21 | 0.00000 |
beta0.lam0 | 5904 | -3.115 | -2.976 | -4.73 | -1.60 | 0.00488 |
beta.lam0[1] | 15355 | -0.123 | -0.096 | -0.43 | 0.21 | 0.87207 |
beta.lam0[2] | 7405 | -1.959 | -1.580 | -3.29 | -0.52 | 0.01494 |
beta.lam0[3] | 14461 | 0.536 | 0.538 | 0.08 | 1.03 | 0.19734 |
lure + snow + temp + pass
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 746 | 205.077 | 291.424 | 120.00 | 300.00 | 0.00000 |
D | 746 | 115.150 | 163.634 | 67.38 | 168.45 | 0.00000 |
sigma | 2200 | 0.151 | 0.133 | 0.10 | 0.20 | 0.00000 |
beta0.lam0 | 4279 | -3.169 | -3.118 | -4.89 | -1.44 | 0.01519 |
beta.lam0[1] | 14588 | -0.115 | -0.111 | -0.44 | 0.23 | 0.85662 |
beta.lam0[2] | 6417 | -1.962 | -1.468 | -3.35 | -0.56 | 0.01497 |
beta.lam0[3] | 13695 | 0.546 | 0.502 | 0.06 | 1.02 | 0.20541 |
beta.lam0[4] | 4988 | 0.496 | 0.209 | -1.06 | 2.00 | 0.94351 |
lure + snow + temp + pass + temp * snow
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 775 | 200.248 | 238.978 | 112.00 | 300.00 | 0.00000 |
D | 775 | 112.439 | 134.186 | 62.89 | 168.45 | 0.00000 |
sigma | 2710 | 0.156 | 0.147 | 0.10 | 0.21 | 0.00000 |
beta0.lam0 | 1718 | -4.728 | -4.355 | -7.22 | -2.08 | 0.00592 |
beta.lam0[1] | 11074 | 0.005 | -0.008 | -0.36 | 0.36 | 0.99946 |
beta.lam0[2] | 1676 | -3.907 | -2.836 | -6.42 | -1.18 | 0.00309 |
beta.lam0[3] | 1925 | 2.603 | 2.038 | 0.36 | 4.81 | 0.13183 |
beta.lam0[4] | 5401 | 0.501 | 0.359 | -1.03 | 1.91 | 0.88382 |
beta.lam0[5] | 1905 | 2.616 | 1.803 | -0.05 | 5.30 | 0.31983 |
lure + snow + temp + pass + lure * snow
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 781 | 202.377 | 279.326 | 115.00 | 300.00 | 0.00000 |
D | 781 | 113.634 | 156.841 | 64.57 | 168.45 | 0.00000 |
sigma | 2853 | 0.155 | 0.145 | 0.10 | 0.21 | 0.00000 |
beta0.lam0 | 813 | -5.936 | -5.123 | -9.33 | -2.54 | 0.00520 |
beta.lam0[1] | 757 | -3.615 | -2.624 | -6.67 | -0.18 | 0.19772 |
beta.lam0[2] | 779 | -5.111 | -4.140 | -8.60 | -1.51 | 0.00371 |
beta.lam0[3] | 7357 | 0.367 | 0.397 | -0.18 | 0.89 | 0.54202 |
beta.lam0[4] | 5178 | 0.556 | 0.471 | -1.01 | 2.00 | 0.89166 |
beta.lam0[5] | 748 | -3.930 | -2.981 | -7.46 | -0.26 | 0.22661 |