CAISEr: Comparison of Algorithms with Iterative Sample Size Estimation

Functions for performing experimental comparisons of algorithms using adequate sample sizes for power and accuracy. Implements the methodology originally presented in Campelo and Takahashi (2019) <doi:10.1007/s10732-018-9396-7> for the comparison of two algorithms, and later generalised in Campelo and Wanner (Submitted, 2019) <arxiv:1908.01720>.

Version: 1.0.15
Depends: R (≥ 3.5.0)
Imports: assertthat (≥ 0.2.1), parallel (≥ 3.5.1), pbmcapply (≥ 1.4.1), ggplot2 (≥ 3.1.1), gridExtra (≥ 2.3)
Suggests: MOEADr, smoof, knitr, rmarkdown, car, dplyr, pkgdown
Published: 2019-08-19
Author: Felipe Campelo [aut, cre], Fernanda Takahashi [ctb], Elizabeth Wanner [ctb]
Maintainer: Felipe Campelo <f.campelo at aston.ac.uk>
BugReports: https://github.com/fcampelo/CAISEr/issues
License: GPL-2
URL: https://fcampelo.github.io/CAISEr/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: CAISEr results

Downloads:

Reference manual: CAISEr.pdf
Vignettes: Adapting Algorithms for CAISEr
Package source: CAISEr_1.0.15.tar.gz
Windows binaries: r-devel: CAISEr_1.0.15.zip, r-release: CAISEr_1.0.15.zip, r-oldrel: CAISEr_1.0.15.zip
OS X binaries: r-release: CAISEr_1.0.15.tgz, r-oldrel: CAISEr_1.0.15.tgz
Old sources: CAISEr archive

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