TABLE 2.

Coverage of 90% credible intervals of selfing rates under models 1, 2, 3, and 6 with respect to specific population size and locus number based on 100 data sets per selfing rate combination (50 data sets for model 6)

		Model 1
Sample size	Locus no.	0.0	0.1	0.3	0.5	0.7	0.9
100	100	1.00	0.93	0.93	0.912	0.95	0.958
20	100	0.988	0.99	0.92	0.888	0.93	0.92
100	20	0.99	0.958	0.932	0.94	0.924	0.96
		Model 2
Sample size	Locus no.	0.0	0.3	0.0	0.9	0.3	0.3
100	100	0.976	0.878	0.96	0.94	0.882	0.914
20	100	0.732	0.892	0.734	0.938	0.93	0.91
100	20	0.772	0.99	0.742	0.97	0.95	0.91
		Model 2
Sample size	Locus no.	0.3	0.6	0.3	0.9	0.9	0.9
100	100	0.91	0.948	0.968	0.924	0.902	0.99
20	100	0.948	0.94	0.88	0.926	0.88	0.98
100	20	0.898	0.9	0.928	0.924	0.894	1.00
		Model 3
Sample size	Locus no.	0.4	0.5	0.6	0.1	0.5	0.9
150	100	0.948	0.958	0.948	0.832	0.92	0.97
30	100	0.962	0.976	0.916	0.856	0.932	0.86
150	20	0.964	0.97	0.964	0.792	0.868	0.954
		Model 3
Sample size	Locus no.	0.25	0.6	0.85	0.05	0.45	0.75
150	100	0.89	0.924	0.97	0.816	0.818	0.836
30	100	0.852	0.884	0.896	0.788	0.91	0.892
150	20	0.86	0.97	0.978	0.766	0.972	0.968
		Model 6
Sample size	Locus no.	0.05	0.30	0.45	0.55	0.75	0.95
300	100	0.800	0.900	0.840	0.800	0.860	1.000

Each data set was run for five independent MCMCs, with 1,000,000 iterations, 500,000 burn-in iterations, and a thinning interval of 10 iterations (for model 6 one chain per data set). The proposal method for selfing rate here is the AIS.