DESCRIPTION

Package: OptimClassifier
Title: Create the Best Train for Classification Models
Version: 0.1.5
Authors@R: 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("Marta","Vaca-Lamata", email="mvaca@umh.es",role="aut", comment = c(ORCID = "0000-0001-8496-5579")),
    person("Antonio Jose","Verdu-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).
Depends: R (>= 3.2.3)
License: GPL (>= 2)
BugReports: https://github.com/economistgame/OptimClassifier/issues
URL: https://economistgame.github.io/OptimClassifier
Imports: crayon,
         dplyr,
         MASS,
         lme4,
         rpart,
         nnet,
         e1071,
         lmtest,
         nortest,
         clisymbols,
         ggplot2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat,
    knitr,
    rmarkdown
VignetteBuilder: knitr