{ "_id": "6a1d3b151d7bb097a0a3ed3e", "Package": "BCBCSF", "Version": "1.0-2", "Date": "2026-03-27", "Title": "Bias-Corrected Bayesian Classification with Selected Features", "Authors@R": "person(given = \"Longhai\",\nfamily = \"Li\",\nrole = c(\"aut\", \"cre\"),\nemail = \"longhai.li@usask.ca\")", "Description": "Fully Bayesian Classification with a subset of\nhigh-dimensional features, such as expression levels of genes.\nThe data are modeled with a hierarchical Bayesian models using\nheavy-tailed t distributions as priors. When a large number of\nfeatures are available, one may like to select only a subset of\nfeatures to use, typically those features strongly correlated\nwith the response in training cases. Such a feature selection\nprocedure is however invalid since the relationship between the\nresponse and the features has be exaggerated by feature\nselection. This package provides a way to avoid this bias and\nyield better-calibrated predictions for future cases when one\nuses F-statistic to select features.", "License": "GPL (>= 2)", "URL": "https://www.r-project.org, https://longhaisk.github.io/", "RoxygenNote": "7.3.2", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-01 07:50:04 UTC", "User": "root" }, "Author": "Longhai Li [aut, cre]", "Maintainer": "Longhai Li ", "Repository": "https://longhaisk.r-universe.dev", "Date/Publication": "2026-03-30 15:46:23 UTC", "RemoteUrl": "https://github.com/cran/BCBCSF", "RemoteRef": "HEAD", "RemoteSha": "050f57d809e36b679df4ab422280bb6b0973b083", "MD5sum": "65bd02a035f38e68ca0c83213ea9208d", "_user": "longhaisk", "_type": "src", "_file": "BCBCSF_1.0-2.tar.gz", "_fileid": "6e7ba0394af0f9e4ff731d3c99175c79e774263cc598415fc88dbd11fa78d8f5", "_filesize": 831185, "_sha256": "6e7ba0394af0f9e4ff731d3c99175c79e774263cc598415fc88dbd11fa78d8f5", "_created": "2026-06-01T07:50:04.000Z", "_published": 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