n_sites | N_detections | rep_period | model_agg_M | iterations | burnin | thin | state_buffer |
---|---|---|---|---|---|---|---|
32 | 43 | 7 days | 300 | 350000 | 20000 | 20 | 2.5 |
model | description | WAIC |
---|---|---|
sc.fm4.0 | lure + snow + temp | 285.9300 |
sc.fm4.2 | lure + snow + temp + pass | 287.9899 |
sc.fm5.0 | lure + snow + temp + pass + temp * snow | 288.6750 |
sc.fm5.1 | lure + snow + temp + pass + lure * snow | 290.7973 |
sc.fm3.0 | lure + snow | 292.9536 |
sc.fm3.1 | lure + pass | 299.5834 |
sc.fm2.0 | lure | 299.8385 |
sc.fm2.1 | snow | 302.0749 |
sc.fm2.2 | temp | 311.0369 |
sc.fm1 | dot model | 312.3275 |
sc.fm2.3 | pass | 313.1876 |
cov | indicator_mean |
---|---|
beta.ind[1] | 0.76733 |
psi.ind | 0.23828 |
beta.ind[2] | 0.11473 |
beta.ind[3] | 0.01479 |
beta.ind[6] | 0.00248 |
beta.ind[4] | 0.00000 |
beta.ind[5] | 0.00000 |
cov | indicator_mean |
---|---|
beta.ind[1] | 0.77230 |
psi.ind | 0.23683 |
beta.ind[2] | 0.11206 |
beta.ind[3] | 0.01339 |
beta.ind[6] | 0.00333 |
beta.ind[4] | 0.00279 |
beta.ind[5] | 0.00236 |
cov | indicator_mean |
---|---|
beta.ind[1] | 0.83121 |
psi.ind | 0.34074 |
beta.ind[2] | 0.17933 |
beta.ind[3] | 0.03703 |
beta.ind[4] | 0.00024 |
dot model
## 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 | 3044 | 17.238 | 10.993 | 6.00 | 29.00 | 0 |
D | 3044 | 9.679 | 6.173 | 3.37 | 16.28 | 0 |
sigma | 6498 | 0.886 | 0.877 | 0.63 | 1.15 | 0 |
lam0 | 7543 | 0.171 | 0.126 | 0.05 | 0.28 | 0 |
lure
## 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 | 779 | 22.742 | 13.909 | 7.00 | 39.00 | 0.00000 |
D | 779 | 12.770 | 7.810 | 3.93 | 21.90 | 0.00000 |
sigma | 4560 | 0.923 | 0.946 | 0.67 | 1.21 | 0.00000 |
beta0.lam0 | 6528 | -2.810 | -2.752 | -3.70 | -2.01 | 0.00000 |
beta.lam0[1] | 16500 | -1.214 | -1.187 | -1.75 | -0.68 | 0.00035 |
snow
## 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 | 1752 | 21.048 | 11.937 | 7.00 | 36.00 | 0.00000 |
D | 1752 | 11.819 | 6.703 | 3.93 | 20.21 | 0.00000 |
sigma | 5340 | 0.906 | 0.925 | 0.63 | 1.18 | 0.00000 |
beta0.lam0 | 7736 | -2.377 | -2.322 | -3.20 | -1.60 | 0.00007 |
beta.lam0[1] | 16500 | 0.546 | 0.531 | 0.29 | 0.79 | 0.00194 |
temp
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 668 | 19.742 | 12.094 | 6.00 | 31.00 | 0.00000 |
D | 668 | 11.085 | 6.791 | 3.37 | 17.41 | 0.00000 |
sigma | 2981 | 0.906 | 0.917 | 0.65 | 1.18 | 0.00000 |
beta0.lam0 | 8805 | -2.127 | -2.109 | -2.90 | -1.38 | 0.00027 |
beta.lam0[1] | 16500 | 0.257 | 0.252 | -0.02 | 0.53 | 0.33178 |
pass
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 789 | 19.567 | 13.129 | 6.00 | 31.00 | 0.00000 |
D | 789 | 10.987 | 7.372 | 3.37 | 17.41 | 0.00000 |
sigma | 3204 | 0.909 | 0.921 | 0.64 | 1.18 | 0.00000 |
beta0.lam0 | 8690 | -2.274 | -2.268 | -3.06 | -1.50 | 0.00000 |
beta.lam0[1] | 16938 | 0.405 | 0.379 | -0.23 | 1.06 | 0.58872 |
lure + snow
## 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 | 1100 | 27.140 | 13.874 | 7.00 | 48.00 | 0.00000 |
D | 1100 | 15.239 | 7.790 | 3.37 | 26.39 | 0.00000 |
sigma | 3872 | 0.909 | 0.923 | 0.63 | 1.20 | 0.00000 |
beta0.lam0 | 4667 | -3.006 | -2.918 | -3.90 | -2.11 | 0.00000 |
beta.lam0[1] | 16500 | -1.059 | -0.977 | -1.55 | -0.54 | 0.00190 |
beta.lam0[2] | 16500 | 0.480 | 0.470 | 0.23 | 0.72 | 0.00623 |
lure + pass
## 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 | 1459 | 21.512 | 15.926 | 7.00 | 37.00 | 0.00000 |
D | 1459 | 12.079 | 8.942 | 3.93 | 20.78 | 0.00000 |
sigma | 4598 | 0.911 | 0.936 | 0.64 | 1.18 | 0.00000 |
beta0.lam0 | 8380 | -2.946 | -2.909 | -3.79 | -2.12 | 0.00000 |
beta.lam0[1] | 16039 | -1.235 | -1.204 | -1.78 | -0.68 | 0.00037 |
beta.lam0[2] | 16500 | 0.462 | 0.536 | -0.15 | 1.07 | 0.50728 |
lure + snow + temp
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 691 | 24.364 | 13.889 | 6.00 | 40.00 | 0.0000 |
D | 691 | 13.680 | 7.798 | 3.37 | 22.46 | 0.0000 |
sigma | 3215 | 0.909 | 0.925 | 0.64 | 1.20 | 0.0000 |
beta0.lam0 | 6875 | -3.055 | -3.070 | -3.95 | -2.20 | 0.0000 |
beta.lam0[1] | 17351 | -1.172 | -1.113 | -1.74 | -0.62 | 0.0000 |
beta.lam0[2] | 15917 | 0.580 | 0.575 | 0.31 | 0.83 | 0.0015 |
beta.lam0[3] | 16500 | 0.668 | 0.654 | 0.26 | 1.05 | 0.0205 |
lure + snow + temp + pass
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 638 | 25.953 | 13.228 | 6.00 | 43.00 | 0.00000 |
D | 638 | 14.572 | 7.427 | 3.37 | 24.14 | 0.00000 |
sigma | 2423 | 0.890 | 0.906 | 0.60 | 1.18 | 0.00000 |
beta0.lam0 | 6804 | -3.004 | -3.112 | -4.01 | -2.06 | 0.00000 |
beta.lam0[1] | 15579 | -1.164 | -1.103 | -1.70 | -0.58 | 0.00108 |
beta.lam0[2] | 16500 | 0.591 | 0.589 | 0.33 | 0.88 | 0.00126 |
beta.lam0[3] | 16500 | 0.675 | 0.669 | 0.29 | 1.07 | 0.01978 |
beta.lam0[4] | 14527 | -0.073 | -0.063 | -0.82 | 0.62 | 0.98404 |
lure + snow + temp + pass + temp * snow
## 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 | 463 | 23.378 | 13.922 | 7.00 | 39.00 | 0.00000 |
D | 463 | 13.127 | 7.817 | 3.93 | 21.90 | 0.00000 |
sigma | 3182 | 0.902 | 0.922 | 0.63 | 1.19 | 0.00000 |
beta0.lam0 | 6759 | -2.960 | -2.968 | -3.92 | -2.01 | 0.00000 |
beta.lam0[1] | 16543 | -1.161 | -1.079 | -1.74 | -0.59 | 0.00000 |
beta.lam0[2] | 15726 | 0.551 | 0.526 | 0.27 | 0.83 | 0.00532 |
beta.lam0[3] | 16500 | 0.627 | 0.592 | 0.21 | 1.01 | 0.03859 |
beta.lam0[4] | 14621 | -0.004 | -0.009 | -0.72 | 0.71 | 0.99975 |
beta.lam0[5] | 16500 | 0.209 | 0.201 | -0.18 | 0.57 | 0.65036 |
lure + snow + temp + pass + lure * snow
param | n_effective | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P |
---|---|---|---|---|---|---|
N | 524 | 24.567 | 13.909 | 6.00 | 39.00 | 0.00000 |
D | 524 | 13.794 | 7.810 | 3.37 | 21.90 | 0.00000 |
sigma | 2314 | 0.901 | 0.908 | 0.64 | 1.20 | 0.00000 |
beta0.lam0 | 6895 | -3.260 | -3.267 | -4.25 | -2.28 | 0.00000 |
beta.lam0[1] | 15125 | -1.545 | -1.475 | -2.17 | -0.87 | 0.00000 |
beta.lam0[2] | 15694 | 0.951 | 0.895 | 0.51 | 1.38 | 0.00133 |
beta.lam0[3] | 16500 | 0.748 | 0.753 | 0.32 | 1.14 | 0.00987 |
beta.lam0[4] | 15387 | -0.038 | 0.024 | -0.74 | 0.65 | 0.99699 |
beta.lam0[5] | 15275 | 0.533 | 0.517 | 0.04 | 1.04 | 0.23531 |