Year: 2017
Species: LongTailedWeasel
Study Site: Humphreys Basin
Metadata Summary:
| n_sites | N_detections | rep_period | model_agg_M | iterations | burnin | thin | state_buffer |
|---|---|---|---|---|---|---|---|
| 31 | 7 | 7 days | 300 | 350000 | 20000 | 20 | 2.5 |
WAIC
Models by WAIC:| model | description | WAIC |
|---|---|---|
| sc.fm2.2 | temp | 71.20936 |
| sc.fm5.0 | lure + snow + temp + pass + temp * snow | 73.93692 |
| sc.fm4.0 | lure + snow + temp | 74.92841 |
| sc.fm2.1 | snow | 76.32356 |
| sc.fm4.2 | lure + snow + temp + pass | 76.85898 |
| sc.fm1 | dot model | 77.35835 |
| sc.fm2.3 | pass | 78.62341 |
| sc.fm5.1 | lure + snow + temp + pass + lure * snow | 78.80854 |
| sc.fm3.0 | lure + snow | 79.52414 |
| sc.fm2.0 | lure | 80.95556 |
| sc.fm3.1 | lure + pass | 81.60901 |
Reversible Jump MCMC:
sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow| cov | indicator_mean |
|---|---|
| psi.ind | 0.13504 |
| beta.ind[3] | 0.07297 |
| beta.ind[2] | 0.01073 |
| beta.ind[1] | 0.00115 |
| beta.ind[4] | 0.00000 |
| beta.ind[5] | 0.00000 |
| beta.ind[6] | 0.00000 |
| cov | indicator_mean |
|---|---|
| psi.ind | 0.13719 |
| beta.ind[3] | 0.07485 |
| beta.ind[2] | 0.01067 |
| beta.ind[4] | 0.00533 |
| beta.ind[5] | 0.00309 |
| beta.ind[1] | 0.00103 |
| beta.ind[6] | 0.00061 |
| cov | indicator_mean |
|---|---|
| psi.ind | 0.18523 |
| beta.ind[3] | 0.10455 |
| beta.ind[2] | 0.01582 |
| beta.ind[1] | 0.00121 |
| 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 | 839 | 185.754 | 210.258 | 92.00 | 300.00 | 0 |
| D | 839 | 112.252 | 127.060 | 55.60 | 181.29 | 0 |
| sigma | 7818 | 0.176 | 0.171 | 0.11 | 0.24 | 0 |
| lam0 | 4691 | 0.154 | 0.043 | 0.01 | 0.22 | 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 | 1031 | 209.573 | 289.091 | 120.00 | 300.00 | 0.00000 |
| D | 1031 | 126.646 | 174.699 | 72.52 | 181.29 | 0.00000 |
| sigma | 10737 | 0.190 | 0.187 | 0.13 | 0.25 | 0.00000 |
| beta0.lam0 | 5178 | -3.361 | -3.446 | -4.46 | -2.20 | 0.00118 |
| beta.lam0[1] | 16500 | -0.254 | -0.052 | -0.98 | 0.50 | 0.99004 |
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 | 1013 | 213.606 | 293.133 | 126.00 | 300.00 | 0.00000 |
| D | 1013 | 129.083 | 177.142 | 76.14 | 181.29 | 0.00000 |
| sigma | 13043 | 0.193 | 0.185 | 0.13 | 0.25 | 0.00000 |
| beta0.lam0 | 9158 | -4.402 | -4.094 | -6.12 | -2.75 | 0.00033 |
| beta.lam0[1] | 13768 | -1.869 | -1.138 | -3.54 | -0.12 | 0.16815 |
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 | 910 | 208.120 | 293.806 | 115.00 | 300.00 | 0.00000 |
| D | 910 | 125.768 | 177.549 | 69.50 | 181.29 | 0.00000 |
| sigma | 11110 | 0.185 | 0.176 | 0.12 | 0.25 | 0.00000 |
| beta0.lam0 | 5679 | -4.114 | -4.063 | -5.79 | -2.53 | 0.00768 |
| beta.lam0[1] | 16500 | 1.413 | 1.304 | 0.55 | 2.28 | 0.01286 |
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 | 980 | 208.470 | 278.753 | 122.00 | 300.00 | 0.00000 |
| D | 980 | 125.979 | 168.452 | 73.73 | 181.29 | 0.00000 |
| sigma | 12416 | 0.192 | 0.191 | 0.13 | 0.25 | 0.00000 |
| beta0.lam0 | 5293 | -3.902 | -3.860 | -5.36 | -2.45 | 0.00135 |
| beta.lam0[1] | 7383 | 1.704 | 1.506 | -0.31 | 3.53 | 0.36953 |
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 | 1049 | 216.050 | 281.587 | 131.00 | 300.00 | 0.00000 |
| D | 1049 | 130.560 | 170.164 | 79.16 | 181.29 | 0.00000 |
| sigma | 12383 | 0.192 | 0.189 | 0.13 | 0.25 | 0.00000 |
| beta0.lam0 | 9639 | -4.461 | -4.215 | -6.16 | -2.82 | 0.00039 |
| beta.lam0[1] | 16500 | -0.202 | 0.001 | -0.89 | 0.54 | 0.99999 |
| beta.lam0[2] | 14672 | -1.828 | -1.242 | -3.49 | -0.08 | 0.18373 |
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 | 1020 | 214.021 | 288.974 | 127.00 | 300.00 | 0.00000 |
| D | 1020 | 129.334 | 174.628 | 76.75 | 181.29 | 0.00000 |
| sigma | 12926 | 0.191 | 0.185 | 0.13 | 0.26 | 0.00000 |
| beta0.lam0 | 6545 | -4.025 | -4.050 | -5.47 | -2.55 | 0.00103 |
| beta.lam0[1] | 16500 | -0.175 | -0.036 | -0.90 | 0.59 | 0.99262 |
| beta.lam0[2] | 8156 | 1.680 | 1.305 | -0.40 | 3.47 | 0.37637 |
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 | 975 | 203.660 | 275.312 | 111.00 | 300.00 | 0.00000 |
| D | 975 | 123.073 | 166.372 | 67.08 | 181.29 | 0.00000 |
| sigma | 11402 | 0.185 | 0.183 | 0.12 | 0.25 | 0.00000 |
| beta0.lam0 | 7195 | -4.912 | -4.737 | -6.87 | -2.91 | 0.00491 |
| beta.lam0[1] | 16500 | -0.254 | -0.107 | -1.02 | 0.59 | 0.98042 |
| beta.lam0[2] | 14698 | -1.333 | -0.838 | -3.00 | 0.39 | 0.54617 |
| beta.lam0[3] | 14705 | 1.293 | 1.144 | 0.41 | 2.19 | 0.03577 |
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 | 886 | 208.587 | 280.012 | 115.00 | 300.00 | 0.00000 |
| D | 886 | 126.050 | 169.213 | 69.50 | 181.29 | 0.00000 |
| sigma | 9895 | 0.188 | 0.184 | 0.12 | 0.26 | 0.00000 |
| beta0.lam0 | 4180 | -5.353 | -5.385 | -7.65 | -3.02 | 0.00581 |
| beta.lam0[1] | 15158 | -0.173 | 0.012 | -0.97 | 0.70 | 0.99954 |
| beta.lam0[2] | 13026 | -1.332 | -0.817 | -2.97 | 0.38 | 0.56235 |
| beta.lam0[3] | 12747 | 1.244 | 1.120 | 0.29 | 2.16 | 0.07405 |
| beta.lam0[4] | 5562 | 1.222 | 1.010 | -1.08 | 3.24 | 0.61220 |
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 | 934 | 212.793 | 289.511 | 126.00 | 300.00 | 0.00000 |
| D | 934 | 128.592 | 174.953 | 76.14 | 181.29 | 0.00000 |
| sigma | 9497 | 0.191 | 0.188 | 0.13 | 0.26 | 0.00000 |
| beta0.lam0 | 95 | -24.064 | -15.470 | -41.65 | -5.62 | 0.00307 |
| beta.lam0[1] | 16500 | -0.097 | 0.065 | -0.79 | 0.62 | 0.99081 |
| beta.lam0[2] | 96 | -24.090 | -12.739 | -44.63 | -1.92 | 0.12288 |
| beta.lam0[3] | 100 | 12.731 | 7.291 | 1.94 | 22.40 | 0.02012 |
| beta.lam0[4] | 2091 | 1.448 | 1.263 | -0.63 | 3.43 | 0.50295 |
| beta.lam0[5] | 98 | 14.577 | 7.913 | 1.72 | 26.56 | 0.09697 |
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 | 848 | 205.740 | 289.475 | 112.00 | 300.00 | 0.00000 |
| D | 848 | 124.330 | 174.931 | 67.68 | 181.29 | 0.00000 |
| sigma | 11028 | 0.186 | 0.183 | 0.12 | 0.25 | 0.00000 |
| beta0.lam0 | 3639 | -5.916 | -5.743 | -8.53 | -3.28 | 0.00371 |
| beta.lam0[1] | 13715 | 0.060 | 0.198 | -1.04 | 1.21 | 0.93920 |
| beta.lam0[2] | 11633 | -1.932 | -1.344 | -3.94 | 0.26 | 0.38286 |
| beta.lam0[3] | 11933 | 1.323 | 1.193 | 0.29 | 2.26 | 0.06662 |
| beta.lam0[4] | 3544 | 1.204 | 0.954 | -1.06 | 3.48 | 0.64441 |
| beta.lam0[5] | 14858 | 0.616 | 0.691 | -0.57 | 1.89 | 0.62084 |
N
D
sigma
beta0.lam0
beta.lam0[1]
beta.lam0[2]
beta.lam0[3]
beta.lam0[4]
beta.lam0[5]
