Comparison of Algorithms with Iterative Sample Size Estimation

boot_sdm | Bootstrap the sampling distribution of the mean |

calc_instances | Calculates number of instances for the comparison of two... |

calc_nreps2 | Determine sample sizes for a pair of algorithms on a problem... |

calc_phi | Calculates the sample estimator of (simple or percent)... |

calc_power_curve | Calculate the power curve for an experiment |

calc_ropt | Calculates the optimal ratio of sample sizes |

calc_se | Calculates the standard error for simple and percent... |

consolidate.partial.results | Consolidate results from partial files |

dummyalgo | Dummy algorithm routine to test the sampling procedures |

dummyinstance | Dummy instance (for testing only) - a function that does... |

get_observations | Run an algorithm on a problem. |

my.SANN | Simulated annealing (for testing/examples) Adapted from... |

plot.CAISErPowercurve | plot.caiser.powercurve |

print.CAISEr | print.CAISEr |

run_experiment | Run a full experiment |

se_boot | Bootstrap standard errors |

se_param | Parametric standard errors |

summary.CAISEr | summary.CAISEr |

summary.CAISErPowercurve | summary.CAISErPowercurve |

TSP.dist | TSP instance generator (for testing/examples) Adapted from... |

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