Package: BCBCSF 1.0-1

Longhai Li

BCBCSF: Bias-Corrected Bayesian Classification with Selected Features

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.

Authors:Longhai Li <[email protected]>

BCBCSF_1.0-1.tar.gz
BCBCSF_1.0-1.tar.gz(r-4.5-noble)BCBCSF_1.0-1.tar.gz(r-4.4-noble)
BCBCSF_1.0-1.tgz(r-4.4-emscripten)BCBCSF_1.0-1.tgz(r-4.3-emscripten)
BCBCSF.pdf |BCBCSF.html
BCBCSF/json (API)

# Install 'BCBCSF' in R:
install.packages('BCBCSF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

7 exports 0.61 score 1 dependencies 1 dependents 1 mentions 1 scripts 252 downloads

Last updated 9 years agofrom:2b5e8bbe23. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-linux-x86_64OKSep 01 2024

Exports:bcbcsf_fitpredbcbcsf_plotsumfitbcbcsf_predbcbcsf_sumfitcross_vldeval_predreload_fit_bcbcsf

Dependencies:abind