Function reference • CAISEr

All functions
`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

Reference