se_boot() to remove CRAN warning.drop = TRUE when subsetting rows in
se_param()/se_boot()).CAISErcalc_nreps2() by
calc_nreps() to calculate the number of repetitions in the
case of multiple (>2) algorithms.calc_se() now performs point estimate and
standard error calculations for all pairs of interest in the case of
multiple algorithms.calc_instances() now returns the number of
required instances to maintain the desired power for the family of
experiments, based on Holm’s step-down correction. It also returns the
sequence of alpha values and the corresponding power to detect the
effect size d, for each comparison using Holm’s
method.CAISER_powercurve and all associated
methods (print, summary, plot) as these were (very) rarely used.nreps with new summary/plotting
functions.print and summary methods.calc_se() that resulted in
NaN if two vectors with the same sample mean and same
sample variance were passed as arguments.consolidate.partial.results())run_experiment() can now be run in parallel using
multiple cores.run_experiment() and calc_nreps2() can now
save results to files.run_experiment() now forces the use of all available
instances if power >= 1.CAISErPowercurve objects.calc_power_curve() to determine the
range of effect sizes to consider.calc_nreps2()
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