The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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
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.