2018 SC Model Results
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Year:        2018

Species:      WhiteTailedJackrabbit

Study Site:    Mono creek



Metadata Summary:

n_sites N_detections rep_period model_agg_M iterations burnin thin state_buffer
19 66 7 days 300 350000 20000 20 2.5



WAIC

Models by WAIC:
model description WAIC
sc.fm2.2 temp 401.3381
sc.fm2.0 lure 402.6276
sc.fm3.1 lure + pass 403.1672
sc.fm4.0 lure + snow + temp 405.1243
sc.fm1 dot model 405.1430
sc.fm3.0 lure + snow 405.8577
sc.fm4.2 lure + snow + temp + pass 406.0668
sc.fm2.3 pass 406.8147
sc.fm5.1 lure + snow + temp + pass + lure * snow 407.5003
sc.fm5.0 lure + snow + temp + pass + temp * snow 408.0113
sc.fm2.1 snow 410.0576



Reversible Jump MCMC:

sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow
cov indicator_mean
psi.ind 0.12731
beta.ind[1] 0.00897
beta.ind[3] 0.00497
beta.ind[2] 0.00048
beta.ind[4] 0.00000
beta.ind[5] 0.00000
beta.ind[6] 0.00000
sc.fm6.1 model: (reverse jump - unconstrained) lure + snow + temp + pass + temp * snow + lure * snow
cov indicator_mean
psi.ind 0.12769
beta.ind[1] 0.00867
beta.ind[3] 0.00564
beta.ind[4] 0.00121
beta.ind[2] 0.00048
beta.ind[5] 0.00024
beta.ind[6] 0.00018
sc.fm6.4 model: (reverse jump) lure + snow + temp + pass
cov indicator_mean
psi.ind 0.17000
beta.ind[1] 0.01218
beta.ind[3] 0.00636
beta.ind[2] 0.00055
beta.ind[4] 0.00000




Model summaries:

sc.fm1    summary:

dot model

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 561 109.797 58.592 16.00 216.00 0
D 561 68.211 36.400 9.94 134.19 0
sigma 796 0.296 0.263 0.16 0.43 0
lam0 4919 0.477 0.364 0.15 0.73 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 614 124.925 66.574 24.00 240.00 0.00000
D 614 77.609 41.358 14.29 148.48 0.00000
sigma 889 0.298 0.258 0.17 0.43 0.00000
beta0.lam0 5693 -1.299 -1.283 -1.99 -0.61 0.02204
beta.lam0[1] 15960 -0.459 -0.438 -0.76 -0.17 0.03856

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 607 115.323 59.413 18.00 218.00 0.00000
D 607 71.644 36.910 11.18 135.43 0.00000
sigma 964 0.300 0.264 0.16 0.43 0.00000
beta0.lam0 5338 -1.066 -1.045 -1.76 -0.42 0.04639
beta.lam0[1] 16500 -0.101 -0.094 -0.30 0.11 0.75012

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 576 119.435 56.293 21.00 231.00 0.00000
D 576 74.198 34.972 12.42 142.89 0.00000
sigma 914 0.295 0.246 0.16 0.43 0.00000
beta0.lam0 5148 -1.087 -1.077 -1.80 -0.45 0.04604
beta.lam0[1] 16500 0.325 0.329 0.12 0.53 0.04525

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.

## 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 566 115.445 62.278 19.00 226.00 0.00000
D 566 71.719 38.689 11.80 140.40 0.00000
sigma 831 0.296 0.263 0.15 0.43 0.00000
beta0.lam0 4369 -0.918 -0.953 -1.74 -0.23 0.12595
beta.lam0[1] 4030 -0.107 -0.418 -1.54 1.14 0.92370

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 653 120.106 59.949 25.00 231.00 0.00000
D 653 74.615 37.243 14.91 142.89 0.00000
sigma 1051 0.301 0.267 0.17 0.43 0.00000
beta0.lam0 5938 -1.304 -1.275 -2.00 -0.63 0.02005
beta.lam0[1] 16500 -0.485 -0.493 -0.79 -0.18 0.03294
beta.lam0[2] 16500 -0.136 -0.111 -0.35 0.06 0.60543

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 613 117.481 62.903 20.00 225.00 0.00000
D 613 72.984 39.078 12.42 139.78 0.00000
sigma 920 0.300 0.272 0.17 0.44 0.00000
beta0.lam0 3714 -1.144 -1.140 -2.00 -0.44 0.06244
beta.lam0[1] 16500 -0.457 -0.436 -0.76 -0.16 0.04563
beta.lam0[2] 6854 -0.155 -0.329 -1.54 1.06 0.90125

N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]






sc.fm4.0    summary:

lure + snow + temp

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 624 121.321 58.841 21.00 231.00 0.00000
D 624 75.370 36.554 12.42 142.89 0.00000
sigma 1014 0.299 0.265 0.16 0.43 0.00000
beta0.lam0 5062 -1.283 -1.310 -2.02 -0.60 0.02599
beta.lam0[1] 16500 -0.375 -0.390 -0.70 -0.05 0.17911
beta.lam0[2] 16500 -0.075 -0.079 -0.28 0.14 0.84627
beta.lam0[3] 16500 0.213 0.194 -0.02 0.44 0.32151

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 537 118.222 55.404 20.00 232.00 0.00000
D 537 73.445 34.419 12.42 144.13 0.00000
sigma 831 0.297 0.255 0.16 0.43 0.00000
beta0.lam0 4284 -1.131 -1.166 -1.96 -0.37 0.08191
beta.lam0[1] 16500 -0.372 -0.384 -0.69 -0.04 0.19236
beta.lam0[2] 16500 -0.075 -0.065 -0.29 0.13 0.84324
beta.lam0[3] 16108 0.215 0.228 -0.02 0.44 0.35261
beta.lam0[4] 4485 -0.140 -0.322 -1.50 1.13 0.88175

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

## 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 570 113.853 50.244 20.00 224.00 0.00000
D 570 70.730 31.214 9.94 136.67 0.00000
sigma 860 0.303 0.263 0.16 0.43 0.00000
beta0.lam0 2986 -1.117 -1.096 -1.97 -0.36 0.08613
beta.lam0[1] 16500 -0.383 -0.332 -0.70 -0.04 0.17699
beta.lam0[2] 16500 -0.105 -0.117 -0.32 0.11 0.80924
beta.lam0[3] 16500 0.231 0.224 -0.01 0.47 0.30448
beta.lam0[4] 3488 -0.128 -0.237 -1.56 1.16 0.92061
beta.lam0[5] 16500 0.112 0.118 -0.15 0.38 0.79313

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.
param n_effective mean mode hdi_89pct_lower hdi_89pct_upper bayes_P
N 565 118.475 75.077 19.00 230.00 0.00000
D 565 73.602 46.641 11.80 142.89 0.00000
sigma 869 0.298 0.248 0.16 0.43 0.00000
beta0.lam0 4399 -1.211 -1.200 -2.03 -0.46 0.05514
beta.lam0[1] 15442 -0.423 -0.415 -0.74 -0.06 0.14569
beta.lam0[2] 16500 -0.277 -0.234 -0.64 0.08 0.54805
beta.lam0[3] 17599 0.207 0.215 -0.02 0.44 0.36511
beta.lam0[4] 4698 -0.134 -0.386 -1.53 1.13 0.91253
beta.lam0[5] 16500 -0.284 -0.244 -0.67 0.15 0.62168

N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]

beta.lam0[3]

beta.lam0[4]

beta.lam0[5]