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sbfc  

Selective Bayesian Forest Classifier
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sbfc", "1.0.3")



Attach the package and use:
library("sbfc")
Maintained by
Viktoriya Krakovna
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-16
Latest Update: 2022-01-15
Description:
An MCMC algorithm for simultaneous feature selection and classification, and visualization of the selected features and feature interactions. An implementation of SBFC by Krakovna, Du and Liu (2015), .
How to cite:
Viktoriya Krakovna (2016). sbfc: Selective Bayesian Forest Classifier. R package version 1.0.3, https://cran.r-project.org/web/packages/sbfc
Previous versions and publish date:
1.0.1 (2016-07-16 23:06), 1.0.2 (2020-06-23 16:10), 1.0 (2016-07-16 00:01)
Other packages that cited sbfc R package
View sbfc citation profile
Other R packages that sbfc depends, imports, suggests or enhances
Functions, R codes and Examples using the sbfc R package
Some associated functions: corral_augmented . data_disc . edge_density_plot . heart . logposterior_plot . madelon . sbfc-package . sbfc . sbfc_graph . signal_size_plot . signal_var_proportion . 
Some associated R codes: RcppExports.R . datasets.R . sbfc.R .  Full sbfc package functions and examples
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