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CAISEr - Comparison of algorithms with Iterative Sample size Estimation in R

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CAISEr package

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CAISEr: Comparing Algorithms with Iterative Sample-size Estimation in R

Author/maintainer:

Contributors:

[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

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CAISEr - Comparison of algorithms with Iterative Sample size Estimation in R

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