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 |
| DOI: | 10.32614/CRAN.package.UBayFS |
| Author: | Anna Jenul  [aut,
cre],
Stefan Schrunner
[aut],
Kristian Hovde Liland [rev],
Oliver Tomic [ctb],
Jürgen 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 |
Documentation:
| Reference manual: | UBayFS.pdf |
| Vignettes: |
UBayFS block feature selection UBayFS |
Downloads:
| 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 |
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