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: 3.0.10
Depends: R (≥ 4.1)
Imports: DT (≥ 0.27), dplyr (≥ 1.1.0), shiny (≥ 1.7.4), golem (≥ 0.3.5), rlang (≥ 1.0.6), loadeR (≥ 1.0.1), config (≥ 0.3.1), xtable (≥ 1.8-4), glmnet (≥ 4.1-6), traineR (≥ 2.0.4), shinyjs (≥ 2.1.0), xgboost (≥ 1.7.3.1), shinyAce (≥ 0.4.2), echarts4r (≥ 0.4.4), htmltools (≥ 0.5.4), rpart.plot (≥ 3.1.1), colourpicker (≥ 1.1.1), shinydashboard (≥ 0.7.2), shinycustomloader (≥ 0.9.0), shinydashboardPlus (≥ 2.0.3)
Published: 2024-05-15
DOI: NA
Author: Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb, prg], Andrés Navarro [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez at ucr.ac.cr>
BugReports: https://github.com/PROMiDAT/predictoR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://promidat.website/
NeedsCompilation: no
Language: en-US
CRAN checks: predictoR results

Documentation:

Reference manual: predictoR.pdf

Downloads:

Package source: predictoR_3.0.10.tar.gz
Windows binaries: r-devel: predictoR_3.0.10.zip, r-release: predictoR_3.0.10.zip, r-oldrel: predictoR_3.0.10.zip
macOS binaries: r-release (arm64): predictoR_3.0.10.tgz, r-oldrel (arm64): predictoR_3.0.10.tgz, r-release (x86_64): predictoR_3.0.10.tgz, r-oldrel (x86_64): predictoR_3.0.10.tgz
Old sources: predictoR archive

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