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regressoR

Regression Data Analysis System

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.

Versions across snapshots

VersionRepositoryFileSize
4.0.8 rolling linux/jammy R-4.5 regressoR_4.0.8.tar.gz 749.3 KiB
4.0.8 rolling linux/noble R-4.5 regressoR_4.0.8.tar.gz 749.3 KiB
4.0.8 rolling source/ R- regressoR_4.0.8.tar.gz 494.2 KiB
4.0.8 latest linux/jammy R-4.5 regressoR_4.0.8.tar.gz 749.3 KiB
4.0.8 latest linux/noble R-4.5 regressoR_4.0.8.tar.gz 749.3 KiB
4.0.8 latest source/ R- regressoR_4.0.8.tar.gz 494.2 KiB
4.0.8 2026-04-26 source/ R- regressoR_4.0.8.tar.gz 494.2 KiB
4.0.8 2026-04-23 source/ R- regressoR_4.0.8.tar.gz 494.2 KiB
4.0.8 2026-04-09 windows/windows R-4.5 regressoR_4.0.8.zip 753.2 KiB
4.0.3 2025-04-20 source/ R- regressoR_4.0.3.tar.gz 492.5 KiB

Dependencies (latest)

Imports