Table 1.

Informative prior distributions.

DDM parameter	N	Distribution	Weight	Location/Shape	Scale	df	T-LB	T-UB	E-LB	E-UB
v	1,893	Truncated normal* & lognormal	0.85	1.76	1.51		0	+ Inf	0.01	18.51
a	890	Gamma* & gamma	0.76	11.69	0.12		0	+ Inf	0.11	7.47
Mirrored zr	203	Truncated t	–	0.5	0.05	1.85	0	1	0.04	0.96
Ter	857	Truncated t	–	0.44	0.08	1.32	0	+ Inf	0	3.69
sv	317	Truncated normal* & gamma	0.75	1.36	0.69		0	+ Inf	0	3.45
szr	278	Truncated normal	–	0.33	0.22		0	1	0.01	0.85
sTer	352	Truncated t	–	0.17	0.04	0.88	0	+ Inf	0	4.75

N, The number of unique estimates; Weight, The mixture weight of the dominant distribution component; df, Degrees of freedom; T-LB, Theoretical lower bound of the prior distribution; T-UB, Theoretical upper bound of the prior distribution; E-LB, Lower bound of the empirical parameter estimates; E-UB, Upper bound of the empirical parameter estimates;

^*, Dominant distribution component.