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UBayFS  

A User-Guided Bayesian Framework for Ensemble Feature Selection
View on CRAN: Click here


Download and install UBayFS package within the R console
Install from CRAN:
install.packages("UBayFS")

Install from Github:
library("remotes")
install_github("cran/UBayFS")

Install by package version:
library("remotes")
install_version("UBayFS", "1.0")



Attach the package and use:
library("UBayFS")
Maintained by
Anna Jenul
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-07
Latest Update: 2023-03-07
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.
How to cite:
Anna Jenul (2023). UBayFS: A User-Guided Bayesian Framework for Ensemble Feature Selection. R package version 1.0, https://cran.r-project.org/web/packages/UBayFS. Accessed 23 Nov. 2024.
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