c(	person("Dani", "Irawan", role = c("aut","cre"),email = "irawan_dani@yahoo.com",comment=c(ORCID='0000-0002-4213-941X')))
A set of evolutionary algorithms to solve many-objective optimization.
Hybridization between the algorithms are also facilitated. Available algorithms are:
'SMS-EMOA' <doi:10.1016/j.ejor.2006.08.008>
'NSGA-III' <doi:10.1109/TEVC.2013.2281535>
'MO-CMA-ES' <doi:10.1145/1830483.1830573>
The following many-objective benchmark problems are also provided:
'DTLZ1'-'DTLZ4' from Deb, et al. (2001) <doi:10.1007/1-84628-137-7_6> and
'WFG4'-'WFG9' from Huband, et al. (2005) <doi:10.1109/TEVC.2005.861417>.
reticulate, nsga2R, lhs, nnet, stringr, randtoolbox, e1071,
MASS,gtools, stats, utils
Python 3.x with following modules: PyGMO, NumPy,
and cloudpickle
Dani Irawan [aut, cre] (<https://orcid.org/0000-0002-4213-941X>)

reticulate, nsga2R, lhs, nnet, stringr, randtoolbox, e1071,
MASS,gtools, stats, utils, pracma

Exact max-type Cochran-Armitage trend test(CATT)
Jianan Tian <jiant17@gmail.com>, Chenliang Xu
<lucky.random@gmail.com>
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
with the normal approximation method.

Machine Learning Algorithms for Innovation in Tourism
c(
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"))
)
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>.
NbClust, dplyr, formula.tools, magrittr, arules, rpart,
FSelectorRcpp, crayon, ggplot2, rpart.plot
Agustin Perez-Martin [aut] (<https://orcid.org/0000-0003-4994-3176>),
Agustin Perez-Torregrosa [cre, aut]
(<https://orcid.org/0000-0001-5658-4795>),
Alejandro Rabasa-Dolado [aut] (<https://orcid.org/0000-0002-6243-9831>),
Nuria Molla-Campello [aut] (<https://orcid.org/0000-0002-6448-7116>),
Jesus Javier Rodriguez-Sala [aut]
(<https://orcid.org/0000-0002-3796-0692>),
Agencia Valenciana de Turisme [ctb, cph, fnd],
Miguel Hernandez University [ctb, cph, fnd]