## CAISEr package
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## CAISEr: Comparing Algorithms with Iterative Sample-size Estimation in R
**Author/maintainer**:
* Felipe Campelo ([f.campelo@aston.ac.uk](mailto:f.campelo@aston.ac.uk)) [1,2]  

**Contributors:**
- Elizabeth Wanner ([efwanner@decom.cefetmg.br](mailto:efwanner@decom.cefetmg.br))[3] (2019-)
- Fernanda Takahashi ([fernandact@ufmg.br](mailto: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](https://github.com/fcampelo/CAISEr/issues)
