Table 1.

Average estimates of $\widehat{\pi }$

Scenario	Method	πk(%)
		qk = (0 0 0)	(1 0 0)	(0 1 0)	(0 0 1)	(1 1 0)	(1 0 1)	(0 1 1)	(1 1 1)
1a		Independent
	True	99.720	0.070	0.070	0.070	0.020	0.020	0.020	0.010
	Primo(t)	99.712	0.074	0.074	0.074	0.019	0.019	0.019	0.010
	Primo(P)	99.749	0.065	0.065	0.065	0.016	0.016	0.016	0.007
		Correlated
	True	99.720	0.070	0.070	0.070	0.020	0.020	0.020	0.010
	Primo(t)	99.712	0.073	0.073	0.073	0.019	0.019	0.019	0.011
	Primo(P)	99.749	0.065	0.065	0.065	0.016	0.016	0.016	0.007
1b		Independent
	True	99.839	0.070	0.070	0.0007	0.020	0.0002	0.0002	0.0001
	Primo(t)	99.832	0.073	0.073	0.0031	0.019	0.0002	0.0002	0.0001
	Primo(P)	99.857	0.063	0.063	0.0014	0.016	0.0002	0.0001	0.0001
		Correlated
	True	99.839	0.070	0.070	0.0007	0.020	0.0002	0.0002	0.0001
	Primo(t)	99.832	0.073	0.072	0.0029	0.019	0.0002	0.0002	0.0001
	Primo(P)	99.857	0.063	0.063	0.0013	0.016	0.0002	0.0002	0.0001

Scenario 1a simulates sparse associations for J=3 traits. Scenario 1b simulates even sparser associations for the third trait