Table 2.

Summaries of the posterior distributions of the parameters.

Parameter	Mean	SD	2.5%	97.5%	Prob > 0
gpts_ref_post
$\mu$	3.43	4.05	− 4.95	11.04	0.809
${\alpha }_2$	6.75	4.00	− 1.48	14.26	0.947
$\beta$	0.78	0.15	0.51	1.09	1.000
${\gamma }_2$	− 0.25	0.15	− 0.52	0.06	0.051
$\sigma$	5.26	1.05	3.56	7.60
gpts_pers_post
$\mu$	3.50	3.25	− 3.49	9.14	0.853
${\alpha }_2$	4.85	3.28	− 2.29	10.29	0.916
$\beta$	0.81	0.17	0.52	1.19	1.000
${\gamma }_2$	− 0.25	0.18	− 0.53	0.14	0.094
$\sigma$	3.36	0.69	2.21	4.92
ysudslate
$\mu$	0.02	0.17	− 0.31	0.34	0.552
${\alpha }_2$	0.00	0.17	− 0.32	0.34	0.494
$\beta$	0.17	0.17	− 0.17	0.52	0.859
${\gamma }_2$	− 0.53	0.17	− 0.85	− 0.19	0.002
$\sigma$	0.70	0.14	0.47	1.01

For each parameter the table gives the mean, the standard deviation and the 95% credible interval. Prob > 0 is the posterior probability of the parameter being positive.