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eaf

Plots of the Empirical Attainment Function

Installation

About

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.

Citation eaf citation info
mlopez-ibanez.github.io/eaf/
github.com/MLopez-Ibanez/eaf
System requirements GNU make, Gnu Scientific Library
Bug report File report

Key Metrics

Version 2.5
R ≥ 3.2
Published 2023-11-28 153 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks eaf results
Language en-GB

Downloads

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Last 30 days 1.362 -11%
Last 90 days 4.391 -44%
Last 365 days 19.400 -9%

Maintainer

Maintainer

Manuel López-Ibáñez

manuel.lopez-ibanez@manchester.ac.uk

Authors

Manuel López-Ibáñez

aut / cre

Marco Chiarandini

aut

Carlos Fonseca

aut

Luís Paquete

aut

Thomas Stützle

aut

Mickaël Binois

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

eaf archive

Depends

R ≥ 3.2

Imports

modeltools
graphics
grDevices
matrixStats
Rdpack

Suggests

extrafont
testthat ≥ 3.0.0
withr
viridisLite
spelling

Reverse Suggests

ParamHelpers