γ^{a} | ρ^{a} | g(γ)^{b} | g(ρ)^{b} | B(γ)^{c} | B(ρ)^{c} | E()^{d} | E()^{d} | V(γ)^{e} | V(ρ)^{e} |
---|---|---|---|---|---|---|---|---|---|

Hudson's composite-likelihood method | |||||||||

20 | 20 | 0.382 | 0.916 | 0.669 | 0.550 | 20.06 | 20.86 | 1.396 | 0.624 |

60 | 20 | 0.626 | 0.890 | 0.589 | 0.481 | 51.56 | 23.44 | 0.672 | 0.765 |

80 | 20 | 0.672 | 0.856 | 0.717 | 0.431 | 62.19 | 25.36 | 0.600 | 0.869 |

20 | 40 | 0.326 | 0.890 | 0.696 | 0.496 | 18.94 | 42.49 | 1.557 | 0.519 |

40 | 40 | 0.440 | 0.862 | 0.686 | 0.495 | 33.48 | 43.00 | 0.994 | 0.550 |

Summary statistics method | |||||||||

20 | 20 | 0.610 | 0.944 | 0.482 | 0.523 | 26.48 | 21.76 | 1.427 | 0.635 |

60 | 20 | 0.740 | 0.922 | 0.478 | 0.530 | 67.46 | 21.74 | 0.714 | 0.661 |

80 | 20 | 0.804 | 0.894 | 0.509 | 0.492 | 83.16 | 22.80 | 0.566 | 0.717 |

20 | 40 | 0.440 | 0.914 | 0.489 | 0.560 | 30.06 | 40.06 | 1.742 | 0.471 |

40 | 40 | 0.642 | 0.892 | 0.534 | 0.498 | 43.56 | 42.76 | 0.929 | 0.510 |

↵

*a*γ and ρ denote the true values of the gene-conversion and crossing-over rates under which 500 data sets were simulated.↵

*b**g*(γ) and*g*(ρ) denote the fraction of the data sets for which the estimates of gene conversion () and crossing over () lie within a factor of 2 of the true values (*i.e*., γ and ρ), respectively.↵

*c**B*(γ) and*B*(ρ) denote the fraction of times the estimates of gene conversion and crossing over are lower than the true values, given that they are not equal to the true values.↵

*d**E*() and*E*() denote the mean of the estimates of gene-conversion and crossing-over rates.↵

*e**V*(γ) and*V*(ρ) denote the root mean square relative error for the estimates.