TSP.dist                TSP instance generator (for testing/examples)
boot_sdm                Bootstrap the sampling distribution of the mean
calc_instances          Calculates number of instances for the
                        comparison of multiple algorithms
calc_nreps              Determine sample sizes for a set of algorithms
                        on a single problem instance
calc_se                 Calculates the standard error for simple and
                        percent differences
consolidate_partial_results
                        Consolidate results from partial files
dummyalgo               Dummy algorithm routine to test the sampling
                        procedures
dummyinstance           Dummy instance routine to test the sampling
                        procedures
example_SANN            Simulated annealing (for testing/examples)
get_observations        Run an algorithm on a problem.
plot.CAISEr             plot.CAISEr
plot.nreps              plot.nreps
print.CAISEr            print.CAISEr
run_experiment          Run a full experiment for comparing multiple
                        algorithms using multiple instances
se_boot                 Bootstrap standard errors
se_param                Parametric standard errors
summary.CAISEr          summary.CAISEr
summary.nreps           summary.nreps
