Table 3:
MM and Fisher scoring (FS) show superior performance than EM and lme4. Shown below are average performance for fitting a genetic model. Standard errors are given in parentheses.
| Method | Iteration | Runtime (ms) | Objective | |
|---|---|---|---|---|
| 0.00 | MM | 198.02(102.23) | 133.61(822.67) | −375.59(9.63) |
| EM | 1196.10(958.51) | 29.71(12.34) | −375.60(9.64) | |
| FS | 7.60(3.07) | 19.34(33.77) | −375.59(9.63) | |
| lme4 | – | 401.02(142.04) | −375.59(9.64) | |
| 0.05 | MM | 185.86(99.41) | 17.26(1.76) | −377.39(10.52) |
| EM | 1227.62(1030.07) | 29.82(12.74) | −377.40(10.52) | |
| FS | 7.84(2.74) | 14.97(1.55) | −377.39(10.52) | |
| lme4 | – | 425.04(144.00) | −377.39(10.52) | |
| 0.10 | MM | 169.24(99.75) | 16.97(1.59) | −378.40(11.44) |
| EM | 924.80(912.23) | 26.06(11.26) | −378.41(11.45) | |
| FS | 7.32(2.75) | 15.06(1.38) | −378.40(11.44) | |
| lme4 | – | 435.14(128.87) | −378.40(11.44) | |
| 1.00 | MM | 58.96(23.69) | 15.53(0.75) | −409.54(10.90) |
| EM | 105.10(79.65) | 15.49(0.96) | −409.54(10.90) | |
| FS | 5.80(1.05) | 14.66(0.89) | −409.54(10.90) | |
| lme4 | – | 493.14(52.80) | −409.54(10.90) | |
| 10.00 | MM | 110.00(63.13) | 16.22(1.12) | −532.48(8.77) |
| EM | 642.48(1470.38) | 22.32(18.37) | −532.57(8.75) | |
| FS | 14.98(5.21) | 14.78(0.97) | −531.72(8.92) | |
| lme4 | – | 2897.12(15006.38) | −532.48(8.77) | |
| 20.00 | MM | 110.52(34.81) | 16.07(0.91) | −590.87(7.15) |
| EM | 1014.22(1775.40) | 27.03(22.33) | −590.89(7.15) | |
| FS | 17.72(3.13) | 14.79(0.93) | −588.46(7.27) | |
| lme4 | – | 5059.24(20692.67) | −590.79(7.15) |