Samples were drawn using sampling(NUTS). For each parameter, Bulk_ESS and Tail_ESS are effective sample size measures, and Rhat is the potential scale reduction factor on split chains (at convergence, Rhat = 1). ############################# #ariaDNE 0.08 (ep_08) > summary(ep08_mod, WAIC=T) Family: categorical Links: muFL = logit; muIN = logit Formula: diet ~ ep_08 Data: data (Number of observations: 225) Samples: 4 chains, each with iter = 3000; warmup = 1000; thin = 1; total post-warmup samples = 8000 Population-Level Effects: Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS muFL_Intercept 0.00 0.17 -0.34 0.34 1.00 4637 4592 muIN_Intercept -2.34 0.42 -3.23 -1.57 1.00 4080 3813 muFL_ep_08 1.44 0.28 0.93 2.02 1.00 3710 4271 muIN_ep_08 3.94 0.50 3.00 4.98 1.00 3760 4298 ############################# #ariaDNE 0.08 (ep_08) + OPC > summary(ep08_opc_mod, WAIC=T) Family: categorical Links: muFL = logit; muIN = logit Formula: diet ~ ep_08 + OPC Data: data (Number of observations: 225) Samples: 4 chains, each with iter = 3000; warmup = 1000; thin = 1; total post-warmup samples = 8000 Population-Level Effects: Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS muFL_Intercept 0.06 0.18 -0.29 0.43 1.00 5855 4864 muIN_Intercept -2.85 0.55 -4.01 -1.85 1.00 3868 3762 muFL_ep_08 1.34 0.28 0.81 1.92 1.00 5162 5266 muFL_OPC 0.89 0.26 0.40 1.42 1.00 5415 4823 muIN_ep_08 4.42 0.58 3.36 5.63 1.00 4011 4107 muIN_OPC -0.79 0.48 -1.78 0.11 1.00 4706 4929 ############################# #ariaDNE 0.08 (ep_08) + RFI > summary(ep08_rfi_mod, WAIC=T) Family: categorical Links: muFL = logit; muIN = logit Formula: diet ~ ep_08 + RFI Data: data (Number of observations: 225) Samples: 4 chains, each with iter = 3000; warmup = 1000; thin = 1; total post-warmup samples = 8000 Population-Level Effects: Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS muFL_Intercept 0.03 0.18 -0.32 0.37 1.00 6017 5530 muIN_Intercept -2.83 0.53 -3.99 -1.90 1.00 3955 4286 muFL_ep_08 1.73 0.34 1.09 2.43 1.00 4161 4463 muFL_RFI -0.38 0.23 -0.84 0.06 1.00 4271 4950 muIN_ep_08 5.33 0.72 4.03 6.84 1.00 3403 4187 muIN_RFI -1.55 0.43 -2.43 -0.75 1.00 3865 4734 ############################# #ariaDNE 0.08 (ep_08) + ariaDNE 0.08 CV (ep_08_sd) > summary(ep08_sd_mod, WAIC=T) Family: categorical Links: muFL = logit; muIN = logit Formula: diet ~ ep_08 + ep_08_sd Data: data (Number of observations: 225) Samples: 4 chains, each with iter = 3000; warmup = 1000; thin = 1; total post-warmup samples = 8000 Population-Level Effects: Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS muFL_Intercept -0.13 0.19 -0.52 0.25 1.00 5156 4971 muIN_Intercept -5.73 1.18 -8.34 -3.69 1.00 2814 3177 muFL_ep_08 1.64 0.30 1.08 2.24 1.00 4581 4985 muFL_ep_08_sd 1.86 0.37 1.14 2.63 1.00 4461 4289 muIN_ep_08 5.86 0.94 4.23 7.88 1.00 3067 3610 muIN_ep_08_sd -4.15 1.01 -6.33 -2.39 1.00 3034 3576 ############################# #ariaDNE 0.08 (ep_08) + ariaDNE 0.08 CV (ep_08_sd) + OPC > summary(ep08_sd_opc_mod, WAIC=T) Family: categorical Links: muFL = logit; muIN = logit Formula: diet ~ ep_08 + ep_08_sd + OPC Data: data (Number of observations: 225) Samples: 4 chains, each with iter = 3000; warmup = 1000; thin = 1; total post-warmup samples = 8000 Population-Level Effects: Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS muFL_Intercept -0.08 0.20 -0.47 0.32 1.00 6136 5635 muIN_Intercept -6.15 1.30 -9.01 -3.88 1.00 2630 2978 muFL_ep_08 1.58 0.30 1.03 2.20 1.00 5532 5128 muFL_ep_08_sd 1.85 0.40 1.10 2.67 1.00 5463 4597 muFL_OPC 0.84 0.27 0.34 1.38 1.00 6883 5312 muIN_ep_08 6.21 1.02 4.43 8.43 1.00 2830 3225 muIN_ep_08_sd -4.15 1.06 -6.38 -2.27 1.00 2824 3467 muIN_OPC -0.80 0.64 -2.12 0.38 1.00 5057 4355 ############################# #ariaDNE 0.08 (ep_08) + ariaDNE 0.08 CV (ep_08_sd) + RFI > summary(ep08_sd_rfi_mod, WAIC=T) Family: categorical Links: muFL = logit; muIN = logit Formula: diet ~ ep_08 + ep_08_sd + RFI Data: data (Number of observations: 225) Samples: 4 chains, each with iter = 3000; warmup = 1000; thin = 1; total post-warmup samples = 8000 Population-Level Effects: Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS muFL_Intercept -0.11 0.19 -0.48 0.27 1.00 5859 5200 muIN_Intercept -7.20 1.56 -10.62 -4.55 1.00 2738 3464 muFL_ep_08 1.92 0.36 1.24 2.65 1.00 4515 4303 muFL_ep_08_sd 1.83 0.38 1.13 2.63 1.00 5767 4983 muFL_RFI -0.40 0.26 -0.90 0.10 1.00 4687 4639 muIN_ep_08 7.97 1.36 5.65 10.93 1.00 2770 3047 muIN_ep_08_sd -5.45 1.34 -8.37 -3.15 1.00 2861 3542 muIN_RFI -1.81 0.52 -2.91 -0.85 1.00 4051 4589 ############################# #ariaDNE 0.08 (ep_08) + ariaDNE 0.08 CV (ep_08_sd) + OPC + RFI > summary(ep08_sd_opc_rfi_mod, WAIC=T) Family: categorical Links: muFL = logit; muIN = logit Formula: diet ~ ep_08 + ep_08_sd + OPC + RFI Data: data (Number of observations: 225) Samples: 4 chains, each with iter = 3000; warmup = 1000; thin = 1; total post-warmup samples = 8000 Population-Level Effects: Estimate Est.Error l-95% CI u-95% CI Rhat Bulk_ESS Tail_ESS muFL_Intercept -0.07 0.20 -0.46 0.33 1.00 6960 5988 muIN_Intercept -7.49 1.62 -11.13 -4.74 1.00 3219 3826 muFL_ep_08 1.73 0.37 1.03 2.48 1.00 5061 5239 muFL_ep_08_sd 1.81 0.39 1.09 2.61 1.00 6944 5230 muFL_OPC 0.79 0.27 0.29 1.33 1.00 6394 5145 muFL_RFI -0.23 0.27 -0.76 0.31 1.00 5337 5464 muIN_ep_08 8.44 1.45 5.97 11.68 1.00 3080 3985 muIN_ep_08_sd -5.06 1.32 -7.94 -2.71 1.00 3880 4391 muIN_OPC -1.20 0.79 -2.87 0.22 1.00 5490 4315 muIN_RFI -1.90 0.56 -3.09 -0.90 1.00 4776 5003