R/predictoR.R

In predictoR: Predictive Data Analysis System

#' @name predictoR
#' @aliases predictoR
#' @title Predictive Data Analysis System
#' @author Oldemar Rodriguez Rojas \cr
#' Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
#' @description
#' Perform a supervised data analysis on a database through a 'shiny' graphical interface. 
#' It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, 
#' Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, 
#' Support Vector Machines and Bayesian Methods.
#' @details
#' \tabular{ll}{
#' Package: \tab predictoR\cr
#' Type: \tab Package\cr
#' Version: \tab 4.1.5\cr
#' Date: \tab 2025-05-27\cr
#' License: \tab GPL (>=2)\cr
#' }
#' @keywords package
"_PACKAGE"

NULL
utils::globalVariables(c(
  "datos","<<-", "z", "prop", "x", "X", "lower", "upper",
  "OOB", "cont", "MeanDecreaseAccuracy", 
  "plot.MC", "y", "importancia", "count", 
  "desc", "name", "value", "color", "var",
  "Modelo", "nombre", "PG", "Feature", "Corte",
  "width.SJ", "tipo", "prec", "model", "Weight"))