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
