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BCBCSF  

Bias-Corrected Bayesian Classification with Selected Features
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BCBCSF", "1.0-1")



Attach the package and use:
library("BCBCSF")
Maintained by
Longhai Li
[Scholar Profile | Author Map]
First Published: 2011-07-27
Latest Update: 2015-09-26
Description:
Fully Bayesian Classification with a subset of high-dimensional features, such as expression levels of genes. The data are modeled with a hierarchical Bayesian models using heavy-tailed t distributions as priors. When a large number of features are available, one may like to select only a subset of features to use, typically those features strongly correlated with the response in training cases. Such a feature selection procedure is however invalid since the relationship between the response and the features has be exaggerated by feature selection. This package provides a way to avoid this bias and yield better-calibrated predictions for future cases when one uses F-statistic to select features.
How to cite:
Longhai Li (2011). BCBCSF: Bias-Corrected Bayesian Classification with Selected Features. R package version 1.0-1, https://cran.r-project.org/web/packages/BCBCSF. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0-0 (2011-07-27 09:10), 0.0-1 (2011-09-14 08:20), 0.0-2 (2012-09-25 07:56), 1.0-0 (2013-01-18 06:34)
Other packages that cited BCBCSF R package
View BCBCSF citation profile
Other R packages that BCBCSF depends, imports, suggests or enhances
Complete documentation for BCBCSF
Functions, R codes and Examples using the BCBCSF R package
Some associated functions: analyzefit . data . evalpred . example . fitpred . internal . 
Some associated R codes: Full BCBCSF package functions and examples
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