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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.
Package details |
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Author | Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb, prg], Andrés Navarro [ctb, prg] |
Maintainer | Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr> |
License | GPL (>= 2) |
Version | 4.1.1 |
URL | https://promidat.website/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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