Title: Create the Best Train for Classification Models
person("Agustín", "Pérez-Martín", email = "agustin.perez@umh.es", role = "aut", comment = c(ORCID = "0000-0003-4994-3176")),
person("Agustín", "Pérez-Torregrosa", email = "agustin.perez01@goumh.umh.es", role = "cre", comment = c(ORCID = "0000-0001-5658-4795")),
person("Marta","Vaca-Lamata", email="mvaca@umh.es",role="aut", comment = c(ORCID = "0000-0001-8496-5579")),
person("Antonio José","Verdú-Jover", email="ajverdu@umh.es",role="aut", comment = c(ORCID = "0000-0002-6201-7196"))
Description: Patterns searching and binary classification in economic and financial data is a
large field of research. There are a large part of the data
that the target variable is binary. Nowadays, many methodologies
are used, this package collects most popular and compare different
configuration options for Linear Models (LM), Generalized Linear Models (GLM),
Linear Mixed Models (LMM), Discriminant Analysis (DA),
Classification And Regression Trees (CART), Neural Networks (NN) and Support Vector Machines (SVM).
Imports: crayon, dplyr, MASS, lme4, rpart, nnet, e1071, car, nortest,
Author: Agustín Pérez-Martín [aut] (<https://orcid.org/0000-0003-4994-3176>),

person("Agustín", "Pérez-Torregrosa", email = "agustin.perez01@goumh.umh.es", role = c("cre","aut"), comment = c(ORCID = "0000-0001-5658-4795")),
Imports: crayon, dplyr, MASS, lme4, rpart, nnet, e1071, lmtest,

person("Agustin", "Perez-Torregrosa", email = "agustin.perez01@goumh.umh.es", role = c("cre","aut"), comment = c(ORCID = "0000-0001-5658-4795")),
person("Antonio Jose","Verdu-Jover", email="ajverdu@umh.es",role="aut", comment = c(ORCID = "0000-0002-6201-7196"))

Author: Enrique del Castillo, John Hunt, and James Rapkin
Maintainer: Enrique del Castillo <exd13@psu.edu>
Description: Computes confidence regions on the location of

Author: Enrique del Castillo, Peng Chen, Adam Meyers, John Hunt, and James Rapkin
Imports: boot, DepthProc, fields, geometry, magrittr, mclust, nloptr,
Description: Computes confidence regions on the location of response surface optima.