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UBayFS

A User-Guided Bayesian Framework for Ensemble Feature Selection

v1.0 · Mar 7, 2023 · GPL-3

Description

The framework proposed in Jenul et al., (2022) <doi:10.1007/s10994-022-06221-9>, together with an interactive Shiny dashboard. 'UBayFS' is an ensemble feature selection technique embedded in a Bayesian statistical framework. The method combines data and user knowledge, where the first is extracted via data-driven ensemble feature selection. The user can control the feature selection by assigning prior weights to features and penalizing specific feature combinations. 'UBayFS' can be used for common feature selection as well as block feature selection.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies DirichletReg GA ggplot2 gridExtra hyper2 matrixStats mRMRe Rdimtools shiny UBayFS

Version History

1 tracked
new 1.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Mar 7, 2023. Releases before tracking aren’t shown.