From: A fast least-squares algorithm for population inference
 | Simulation 1 q ~ Dir(1,1,1) | Simulation 2 q ~ Dir(.5,.5,.5) | Simulation 3 q ~ Dir(.1,.1,.1) | ||||||
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Original |
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Admixture |
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Least-squares (α=1) |
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Least-squares with α |
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 | RMSE (%) ± Std. Dev. | Time (s.) ± Std. Dev. | RMSE (%) ± Std. Dev. | Time (s.) ± Std. Dev. | RMSE (%) ± Std. Dev. | Time (s.) ± Std. Dev. | |||
 | P | Q | P | Q | P | Q | |||
AD (ε=1e-4) | 2.50 ± 0.04 | 2.19 ± 0.11 | 105 ± 13 | 1.99 ± 0.02 | 1.44 ± 0.04 | 88 ± 9 | 1.54 ± 0.01 | 0.76 ± 0.02 | 86 ± 7 |
AD (ε=1.4e-3) | 2.50 ± 0.04 | 2.19 ± 0.11 | 98 ± 13 | 1.99 ± 0.02 | 1.44 ± 0.04 | 87 ± 11 | 1.54 ± 0.01 | 0.76 ± 0.02 | 83 ± 9 |
LS1 (ε=1.4e-3) | 2.51 ± 0.03 | 1.85 ± 0.07 | 51 ± 6 | 2.04 ± 0.02 | 1.43 ± 0.04 | 37 ± 8 | 1.63 ± 0.01 | 1.75 ± 0.05 | 27 ± 5 |
LSα (ε=1.4e-3) | 2.51 ± 0.03 | 1.85 ± 0.07 | 54 ± 8 | 2.03 ± 0.02 | 1.53 ± 0.04 | 28 ± 4 | 1.57 ± 0.01 | 1.08 ± 0.02 | 15 ± 4 |