predictoR: Predictive Data Analysis System

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.

Version: 2.0.4
Depends: R (≥ 4.1)
Imports: DT (≥ 0.18), golem (≥ 0.3.1), shiny (≥ 1.6.0), rlang (≥ 0.4.11), config (≥ 0.3.1), xtable (≥ 1.8-4), glmnet (≥ 4.1-2), rpart (≥ 4.1-15), colourpicker (≥ 1.1.0), traineR (≥ 1.6.2), shinyjs (≥ 2.0.0), xgboost (≥ 1.4.1.1), rpart.plot (≥ 3.0.9), echarts4r (≥ 0.4.1), shinyAce (≥ 0.4.1), htmltools (≥ 0.5.1.1), shinydashboard (≥ 0.7.1), shinycustomloader (≥ 0.9.0), shinydashboardPlus (≥ 2.0.1)
Published: 2021-08-19
Author: Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb, prg], Andres Navarro [ctb, prg], Joseline Quirós [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.promidat.com
NeedsCompilation: no
CRAN checks: predictoR results

Downloads:

Reference manual: predictoR.pdf
Package source: predictoR_2.0.4.tar.gz
Windows binaries: r-devel: predictoR_2.0.4.zip, r-release: predictoR_2.0.4.zip, r-oldrel: predictoR_1.1.9.zip
macOS binaries: r-release (arm64): predictoR_2.0.4.tgz, r-release (x86_64): predictoR_2.0.4.tgz, r-oldrel: predictoR_1.1.9.tgz
Old sources: predictoR archive

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