UBayFS: A User-Guided Bayesian Framework for Ensemble Feature Selection

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.

Version: 1.0
Depends: R (≥ 3.5.0)
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 (≥ 3.0.0)
Published: 2023-03-07
Author: Anna Jenul ORCID iD [aut, cre], Stefan Schrunner ORCID iD [aut], Kristian Hovde Liland [rev], Oliver Tomic [ctb], J├╝rgen Pilz [ctb]
Maintainer: Anna Jenul <anna.jenul at nmbu.no>
BugReports: https://github.com/annajenul/UBayFS/issues
License: GPL-3
URL: https://annajenul.github.io/UBayFS/, https://joss.theoj.org/papers/10.21105/joss.04848
NeedsCompilation: no
CRAN checks: UBayFS results


Reference manual: UBayFS.pdf
Vignettes: UBayFS block feature selection


Package source: UBayFS_1.0.tar.gz
Windows binaries: r-devel: UBayFS_1.0.zip, r-release: UBayFS_1.0.zip, r-oldrel: UBayFS_1.0.zip
macOS binaries: r-release (arm64): UBayFS_1.0.tgz, r-oldrel (arm64): UBayFS_1.0.tgz, r-release (x86_64): UBayFS_1.0.tgz, r-oldrel (x86_64): UBayFS_1.0.tgz


Please use the canonical form https://CRAN.R-project.org/package=UBayFS to link to this page.