Title: Many Objective Evolutionary Algorithm
Authors@R: c(	person("Dani", "Irawan", role = c("aut","cre"),email = "irawan_dani@yahoo.com",comment=c(ORCID='0000-0002-4213-941X')))
Description: A set of evolutionary algorithms to solve many-objective optimization.
Hybridization between the algorithms are also facilitated. Available algorithms are:
The following many-objective benchmark problems are also provided:
Imports: reticulate, nsga2R, lhs, nnet, stringr, randtoolbox, e1071,
SystemRequirements: Python 3.x with following modules: PyGMO, NumPy,
Author: Dani Irawan [aut, cre] (<https://orcid.org/0000-0002-4213-941X>)

Title: Exact max-type Cochran-Armitage trend test(CATT)
Author: Jianan Tian <jiant17@gmail.com>, Chenliang Xu
Description: Perform exact MAX3 or MAX2 test for one-locus genetic
association analysis and trend test for dominant, recessive and
additive models. It can also calculate approximated p-value
Packaged: Mon Nov 2 16:24:30 2009; lucky

Packaged: 2013-12-02 01:27:54 UTC; luckyrand

Packaged: 2013-11-27 21:52:54 UTC; luckyrand

Title: Machine Learning Algorithms for Innovation in Tourism
person("Agustin", "Perez-Martin", email = "agustin.perez@umh.es", role = "aut", comment = c(ORCID = "0000-0003-4994-3176")),
person("Agustin", "Perez-Torregrosa", email = "agustin.perez01@goumh.umh.es", role =c("cre","aut"), comment = c(ORCID = "0000-0001-5658-4795")),
person("Alejandro", "Rabasa-Dolado", email = "a.rabasa@umh.es", role ="aut" , comment = c(ORCID = "0000-0002-6243-9831")),
person("Nuria", "Molla-Campello", email = "nuria.molla@goumh.umh.es", role =  "aut", comment = c(ORCID = "0000-0002-6448-7116")),
person("Jesus Javier", "Rodriguez-Sala", email = "jesuja.rodriguez@umh.es", role = "aut", comment = c(ORCID = "0000-0002-3796-0692")),
person(family = "Agencia Valenciana de Turisme", role = c("ctb", "cph", "fnd")),
person(family = "Miguel Hernandez University", role = c("ctb", "cph", "fnd"))
Description: A collection of routines created in the collaboration framework in tourism innovation between
the Valencian Tourism Agency (AVT) <http://www.turisme.gva.es/opencms/opencms/turisme/es/index.jsp> and the Miguel Hernandez University.
The package provides a set of machine learning tools for pattern
detection, association and classification rules and feature selection
even under massive data environments. Almiñana, Escudero, Pérez-Martín, Rabasa, and Santamaría (2014) <doi:10.1007/s11750-012-0264-6>.
Imports: NbClust, dplyr, formula.tools, magrittr, arules, rpart,
Author: Agustin Perez-Martin [aut] (<https://orcid.org/0000-0003-4994-3176>),
Agencia Valenciana de Turisme [ctb, cph, fnd],
Miguel Hernandez University [ctb, cph, fnd]