boot_sdm | Bootstrap the sampling distribution of the mean |
calc_instances | Calculates number of instances for the comparison of two algorithms |
calc_nreps2 | Determine sample sizes for a pair of algorithms on a problem instance |
calc_phi | Calculates the sample estimator of (simple or percent) differences |
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 differences |
dummyalgo | Dummy algorithm routine to test the sampling procedures |
dummyinstance | Dummy instance (for testing only) - a function that does nothing and returns nothing |
get_observations | Run an algorithm on a problem. |
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 |