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se_boot()
to remove CRAN warning.drop = TRUE
when subsetting rows in
se_param()
/se_boot()
).CAISEr
calc_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.