Year:        2018

Species:      RedFox

Study Site:    Mono creek

Metadata Summary:

n_sites	N_detections	rep_period	model_agg_M	iterations	burnin	thin	state_buffer
19	13	7 days	300	350000	20000	20	2.5

WAIC

Models by WAIC:

model	description	WAIC
sc.fm1	dot model	104.9693
sc.fm4.0	lure + snow + temp	107.0464
sc.fm2.2	temp	107.8570
sc.fm2.1	snow	108.4612
sc.fm2.3	pass	109.7521
sc.fm5.0	lure + snow + temp + pass + temp * snow	109.9464
sc.fm3.0	lure + snow	110.3608
sc.fm2.0	lure	110.9603
sc.fm5.1	lure + snow + temp + pass + lure * snow	111.3333
sc.fm4.2	lure + snow + temp + pass	112.4623
sc.fm3.1	lure + pass	112.8458

Reversible Jump MCMC:

sc.fm6.0 model: (reverse jump) lure + snow + temp + pass + temp * snow + lure * snow

cov	indicator_mean
psi.ind	0.12426
beta.ind[2]	0.00115
beta.ind[3]	0.00091
beta.ind[1]	0.00067
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	0.12721
beta.ind[5]	0.01776
beta.ind[4]	0.00812
beta.ind[6]	0.00212
beta.ind[3]	0.00127
beta.ind[1]	0.00091
beta.ind[2]	0.00079

sc.fm6.4 model: (reverse jump) lure + snow + temp + pass

cov	indicator_mean
psi.ind	0.16642
beta.ind[3]	0.00188
beta.ind[2]	0.00158
beta.ind[1]	0.00103
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	3557	4.631	2.000	2.00	8.00	0
D	3557	2.877	1.242	1.24	4.97	0
sigma	15593	0.885	0.882	0.66	1.11	0
lam0	6803	0.177	0.117	0.03	0.29	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	328	14.541	2.000	2.00	19.00	0.00000
D	328	9.033	1.242	1.24	11.80	0.00000
sigma	15382	0.915	0.911	0.70	1.14	0.00000
beta0.lam0	603	-2.650	-2.325	-3.95	-1.17	0.00177
beta.lam0[1]	8487	-0.178	-0.160	-0.81	0.47	0.92847

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	270	12.464	2.000	2.00	15.00	0.00000
D	270	7.743	1.242	1.24	9.32	0.00000
sigma	16737	0.914	0.906	0.70	1.13	0.00000
beta0.lam0	507	-2.623	-2.299	-3.76	-1.32	0.00061
beta.lam0[1]	16500	0.373	0.388	-0.04	0.78	0.33877

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	247	9.335	2.000	2.00	12.00	0.00000
D	247	5.799	1.242	1.24	7.45	0.00000
sigma	15783	0.916	0.902	0.71	1.14	0.00000
beta0.lam0	741	-2.502	-2.320	-3.58	-1.38	0.00258
beta.lam0[1]	16500	0.383	0.336	-0.08	0.84	0.43043

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	537	17.443	3.039	2.00	33.00	0.00000
D	537	10.836	1.888	1.24	20.50	0.00000
sigma	14274	0.963	0.970	0.74	1.19	0.00000
beta0.lam0	1026	-3.546	-3.156	-5.32	-1.72	0.00055
beta.lam0[1]	2151	1.792	1.504	0.12	3.36	0.17444

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	437	12.326	2.000	2.00	18.00	0.00000
D	437	7.658	1.242	1.24	11.18	0.00000
sigma	15630	0.914	0.926	0.70	1.14	0.00000
beta0.lam0	973	-2.710	-2.373	-4.05	-1.34	0.00191
beta.lam0[1]	10021	-0.072	-0.057	-0.71	0.54	0.98788
beta.lam0[2]	17952	0.367	0.368	-0.04	0.79	0.36441

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	195	31.274	1.877	2.00	84.00	0.00000
D	195	19.428	1.166	1.24	52.18	0.00000
sigma	15176	0.964	0.969	0.75	1.19	0.00000
beta0.lam0	418	-3.925	-3.110	-6.31	-1.77	0.00157
beta.lam0[1]	3992	-0.253	-0.219	-0.89	0.37	0.81565
beta.lam0[2]	5591	1.762	1.554	0.18	3.28	0.15364

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	140	9.363	2.000	2.00	11.00	0.00000
D	140	5.816	1.242	1.24	6.83	0.00000
sigma	15931	0.911	0.891	0.70	1.13	0.00000
beta0.lam0	386	-2.599	-2.401	-3.67	-1.42	0.00146
beta.lam0[1]	5266	0.280	0.332	-0.45	0.97	0.78735
beta.lam0[2]	16676	0.545	0.551	0.09	0.98	0.14348
beta.lam0[3]	15427	0.660	0.656	0.08	1.25	0.21645

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	248	37.543	1.877	2.00	131.00	0.00000
D	248	23.323	1.166	0.62	80.76	0.00000
sigma	15860	0.963	0.961	0.74	1.20	0.00000
beta0.lam0	316	-4.172	-3.331	-7.15	-1.99	0.00257
beta.lam0[1]	1172	0.060	0.075	-0.69	0.82	0.97442
beta.lam0[2]	15872	0.540	0.526	0.09	0.96	0.13374
beta.lam0[3]	5179	0.570	0.548	-0.01	1.15	0.28615
beta.lam0[4]	4931	1.752	1.606	0.07	3.23	0.17937

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	191	33.178	1.874	1.00	107.00	0.00000
D	191	20.612	1.164	0.62	66.47	0.00000
sigma	13736	0.964	0.954	0.74	1.18	0.00000
beta0.lam0	390	-4.094	-3.320	-6.83	-1.84	0.00165
beta.lam0[1]	1559	0.082	0.026	-0.70	0.89	0.99886
beta.lam0[2]	16500	0.215	0.259	-0.31	0.76	0.77684
beta.lam0[3]	9407	0.484	0.483	-0.16	1.10	0.49985
beta.lam0[4]	2012	1.824	1.624	0.09	3.33	0.16329
beta.lam0[5]	15739	0.812	0.767	0.18	1.42	0.10624

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	297	24.321	3.046	2.00	59.00	0.00000
D	297	15.110	1.892	1.24	36.65	0.00000
sigma	14016	0.953	0.963	0.73	1.18	0.00000
beta0.lam0	586	-3.941	-3.384	-6.33	-1.74	0.00160
beta.lam0[1]	1768	0.141	0.099	-0.67	1.00	0.98071
beta.lam0[2]	15966	0.282	0.408	-0.35	0.91	0.63752
beta.lam0[3]	5827	0.562	0.525	-0.03	1.16	0.33451
beta.lam0[4]	4455	1.775	1.573	0.10	3.41	0.20150
beta.lam0[5]	16500	-0.437	-0.330	-1.12	0.18	0.62194

N

D

sigma

beta0.lam0

beta.lam0[1]

beta.lam0[2]

beta.lam0[3]

beta.lam0[4]

beta.lam0[5]