eaf
Plots of the Empirical Attainment Function
Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) doi:10.1007/978-3-642-02538-9_9.
- Version2.5.1
- R version≥ 3.2
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-GB
- eaf citation info
- Last release08/19/2024
Documentation
Team
Manuel López-Ibáñez
MaintainerShow author detailsMarco Chiarandini
Show author detailsRolesAuthorCarlos Fonseca
Show author detailsRolesAuthorLuís Paquete
Show author detailsRolesAuthorThomas Stützle
Show author detailsRolesAuthorMickaël Binois
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 1,608 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 40 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 15,989 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Mar 28, 2025 with 133 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests5 packages
- Reverse Imports1 package
- Reverse Suggests1 package