CAISEr 1.0.17
- Maintenance update:
- minor fix in vignettes to remove CRAN errors due to suggested
package not available.
CAISEr 1.0.16
- Maintenance update:
- minor fix in
se_boot() to remove CRAN warning.
CAISEr 1.0.15
- Maintenance update:
- minor fix in imported packages to remove NOTE in CRAN checks.
- Updated DESCRIPTION with links to published work.
CAISEr 1.0.14
- CAISEr plotting now returns a list of ggplot objects and relevant
dataframes, and plots a nested plot of relevant information.
- fixed bug when running experiment with two algorithms (due to the
default
drop = TRUE when subsetting rows in
se_param()/se_boot()).
CAISEr 1.0.6
- Added plot function to class
CAISEr
CAISEr 1.0.5
- Major update: package can now deal with comparisons of multiple
(>2) algorithms. This version is not backward
compatible with versions 0.xx. To use the previous versions (e.g., to
replicate the results from the paper “Sample Size Estimation for Power
and Accuracy in the Experimental Comparison of Algorithms”, Journal of
Heuristics 2019), install the previous version from
https://cran.r-project.org/src/contrib/CAISEr_0.3.3.tar.gz.
- Replaced function
calc_nreps2() by
calc_nreps() to calculate the number of repetitions in the
case of multiple (>2) algorithms.
- function
calc_se() now performs point estimate and
standard error calculations for all pairs of interest in the case of
multiple algorithms.
- function
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.
- Removed class
CAISER_powercurve and all associated
methods (print, summary, plot) as these were (very) rarely used.
- Added class
nreps with new summary/plotting
functions.
- Updated
print and summary methods.
- The package now supports saving and (re)loading partially executed
experiments.
CAISEr 0.3.3
- fixed problem with printing version in the vignette.
CAISEr 0.3.2
- fixed rare bug in
calc_se() that resulted in
NaN if two vectors with the same sample mean and same
sample variance were passed as arguments.
CAISEr 0.3.1
- Added function to consolidate partial results saved to file
(
consolidate.partial.results())
- Minor improvements to saving partial results to file: users can now
select arbitrary directory for saving
CAISEr 0.3
run_experiment() can now be run in parallel using
multiple cores.run_experiment() and calc_nreps2() can now
save results to files.
CAISEr 0.2.4
run_experiment() now forces the use of all available
instances if power >= 1.
CAISEr 0.2.3
- Improved plot and summary functions for
CAISErPowercurve objects.
- Added options to
calc_power_curve() to determine the
range of effect sizes to consider.
CAISEr 0.2.2
- Added new example and use case to
calc_nreps2()
CAISEr 0.2.1
- Minor fixes, particularly in printing function.
CAISEr 0.2.0