Comparison of Algorithms with Iterative Sample Size Estimation


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Documentation for package ‘CAISEr’ version 0.2.1

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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