A computationally efficient algorithm for genomic prediction using a Bayesian model

Table 2 Estimated mixing proportions (Pr) from BayesR and emBayesR in the 10 k simulation data (HD_Mix_45)

Five replicates of 10 K simulation data with h ² = 0.45
True value of Pr [0.9950 0.0017 0.0016 0.0017]
	BayesR	emBayesR
M45_1	[0.9865 0.0110 0.0010 0.0015]	[0.9813 0.0163 0.0009 0.0015]
M45_2	[0.9861 0.0127 0.0004 0.0008]	[0.9852 0.0136 0.0003 0.0009]
M45_3	[0.9933 0.0046 0.0009 0.0012]	[0.9899 0.0083 0.0005 0.0012]
M45_4	[0.9909 0.0055 0.0022 0.0015]	[0.9864 0.0110 0.0010 0.0016]
M45_5	[0.9944 0.0043 0.0006 0.0007]	[0.9910 0.0078 0.0005 0.0007]
Five replicates of 10 K simulation data with h ² = 0.10
True value of Pr [0.9950 0.0017 0.0016 0.0017]
	BayesR	emBayesR
M10_1	[0.9759 0.0021 0.0024 0.0010]	[0.9243 0.0741 0.0009 0.0008]
M10_2	[0.9624 0.0343 0.0025 0.0009]	[0.9086 0.0898 0.0010 0.0007]
M10_3	[0.9757 0.0022 0.0018 0.0008]	[0.9284 0.0702 0.0007 0.0007]
M10_4	[0.9620 0.0334 0.0032 0.0014]	[0.9146 0.0837 0.0008 0.0010]
M10_5	[0.9664 0.0295 0.0023 0.0018]	[0.9265 0.0715 0.0007 0.0014]

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