CAISEr: Comparing Algorithms with Iterative Sample-size Estimation in R
Author/maintainer: * Felipe Campelo (f.campelo@aston.ac.uk) [1,2]
Contributors: - Elizabeth Wanner (efwanner@decom.cefetmg.br)[3] (2019-) - Fernanda Takahashi (fernandact@ufmg.br)[2] (2016-2018)
[1] Department of Computer Science, Aston University, Birmingham UK
[2] Operations Research and Complex Systems Laboratory, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
[3] Department of Computer Science, CEFET-MG, Brazil
Implementation of R package CAISEr, with routines for automatically determining the sample size needed for performing comparative experiments with multiple algorithms on multiple problem instances.
To install the most up-to-date version directly from Github, simply type:
library(devtools)
devtools::install_github("fcampelo/CAISEr")The most recent CRAN release of the package is also available for installation directly from the R prompt, using:
install.packages("CAISEr")For instructions and examples of use, please take a look at the vignette Adapting Algorithms for CAISEr, and at the package documentation, particularly functions run_experiment(), run_nreps() and calc_instances().
Please send any bug reports, questions or suggestions directly to the package authors listed at the top of this document: https://github.com/fcampelo/CAISEr/issues
