A User-Guided Bayesian Framework for Ensemble Feature Selection

The framework proposed in Jenul et al., (2022) , 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.


Reference manual

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install.packages("UBayFS")

1.0 by Anna Jenul, 4 years ago


https://annajenul.github.io/UBayFS/, https://joss.theoj.org/papers/10.21105/joss.04848


Report a bug at https://github.com/annajenul/UBayFS/issues


Browse source code at https://github.com/cran/UBayFS


Authors: Anna Jenul [aut, cre] , Stefan Schrunner [aut] , Kristian Hovde Liland [rev] , Oliver Tomic [ctb] , Jürgen Pilz [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports DirichletReg, GA, ggplot2, gridExtra, hyper2, matrixStats, methods, mRMRe, Rdimtools, shiny, utils

Suggests caret, dplyr, DT, glmnet, GSelection, knitr, plyr, RColorBrewer, rmarkdown, rpart, shinyalert, shinyBS, shinyjs, shinyWidgets, testthat


See at CRAN