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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()These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.