BCBCSF
Bias-Corrected Bayesian Classification with Selected Features
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.
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CRAN Check Status
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 4, 2026
NOTE 8 OK · 6 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
CRAN incoming feasibility
Maintainer: ‘Longhai Li <longhai@math.usask.ca>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Longhai",
family = "Li",
role = c("aut", "cre"),
email = "longhai@math.usask.ca")
as necessary.
CRAN incoming feasibility
Maintainer: ‘Longhai Li <longhai@math.usask.ca>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Longhai",
family = "Li",
role = c("aut", "cre"),
email = "longhai@math.usask.ca")
as necessary.
compiled code
File ‘BCBCSF/libs/BCBCSF.so’: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ It is good practice to register native routines and to disable symbol search. See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
compiled code
File ‘BCBCSF/libs/BCBCSF.so’: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ It is good practice to register native routines and to disable symbol search. See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
for non-standard things in the check directory
Found the following files/directories: ‘.fitbcbcsf_alpha1_mu_3_n_31_p_4026_nfsel_20_biascor_1.RData’ ‘.fitbcbcsf_alpha1_mu_3_n_31_p_4026_nfsel_50_biascor_1.RData’ ‘.fitbcbcsf_alpha1_mu_3_n_53_p_4026_nfsel_20_biascor_1.RData’ ‘.fitbcbcsf_alpha1_mu_3_n_53_p_4026_nfsel_50_biascor_1.RData’
for non-standard things in the check directory
Found the following files/directories: ‘.fitbcbcsf_alpha1_mu_3_n_31_p_4026_nfsel_20_biascor_1.RData’ ‘.fitbcbcsf_alpha1_mu_3_n_31_p_4026_nfsel_50_biascor_1.RData’ ‘.fitbcbcsf_alpha1_mu_3_n_53_p_4026_nfsel_20_biascor_1.RData’ ‘.fitbcbcsf_alpha1_mu_3_n_53_p_4026_nfsel_50_biascor_1.RData’