regressoR: Regression Data Analysis System
In regressoR: Regression Data Analysis System
regressoR R Documentation
Regression Data Analysis System
Description
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.
Details
Package: regressoR
Type: Package
Version: 4.0.2
Date: 2024-11-15
License: GPL (>=2)
Author(s)
Oldemar Rodriguez Rojas
Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
See Also
Useful links:
regressoR documentation built on April 3, 2025, 9:32 p.m.
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| regressoR | R Documentation |
Regression Data Analysis System
Description
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.
Details
| Package: | regressoR |
| Type: | Package |
| Version: | 4.0.2 |
| Date: | 2024-11-15 |
| License: | GPL (>=2) |
Author(s)
Oldemar Rodriguez Rojas
Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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