R: Comparison of Algorithms with Iterative Sample Size Estimation

# Comparison of Algorithms with Iterative Sample Size Estimation

## Documentation for package ‘CAISEr’ version 1.0.17

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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