TABLE A1.

Parameter estimate and convergence diagnostic table

Parameter	Mean	SD	2.5%	Median	97.5%	Rhat	N eff
μ Vp	8.600	1.517	6.228	8.404	12.147	1.007	564
μ Tp	1.904	0.221	1.248	1.972	2.15	1.011	425
μ d	0.493	0.103	0.32	0.483	0.725	1.003	1117
β v,1	0.157	0.793	−1.189	0.06	2.195	1.000	30 000
β v,2	0.011	0.746	−1.621	0.005	1.61	1.002	1159
β tp,1	−0.037	0.206	−0.491	−0.031	0.368	1.009	2412
β tp,2	−0.237	0.283	−0.971	−0.175	0.191	1.001	2495
β g,1	−0.127	0.098	−0.328	−0.124	0.061	1.000	30 000
β g,2	−0.031	0.123	−0.262	−0.034	0.222	1.000	9996
sd Vp	0.732	0.607	0.027	0.593	2.21	1.002	7477
sd Tp	0.081	0.089	0.002	0.052	0.337	1.002	1876
sd d	0.113	0.075	0.007	0.103	0.287	1.001	13 814
log(s)	3.609	0.231	3.191	3.599	4.09	1.001	3537
deviance	1335.415	7.809	1320.791	1335.324	1351.159	1.002	952

Note: Mean, standard deviation (SD), 95% credible interval (2.5%, 97.5%), and median of the posterior parameter distributions. Rhat is the Gelman–Rubin scale reduction statistic for the three parallel MCMC chains, and N _eff is the effective posterior sample size (Gelman et al., 2013).