Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Package details |
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Maintainer | |
License | GPL (>=2) |
Version | 3.0.2 |
URL | https://promidat.website/ https://github.com/PROMiDAT/regressoR |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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