{ "_id": "6a1f0e07b401979e7341d21f", "Package": "RaSEn", "Type": "Package", "Title": "Random Subspace Ensemble Classification and Variable Screening", "Version": "3.0.0", "Author": "Ye Tian [aut, cre] and Yang Feng [aut]", "Maintainer": "Ye Tian ", "Description": "We propose a general ensemble classification framework,\nRaSE algorithm, for the sparse classification problem. In RaSE\nalgorithm, for each weak learner, some random subspaces are\ngenerated and the optimal one is chosen to train the model on\nthe basis of some criterion. To be adapted to the problem, a\nnovel criterion, ratio information criterion (RIC) is put up\nwith based on Kullback-Leibler divergence. Besides minimizing\nRIC, multiple criteria can be applied, for instance, minimizing\nextended Bayesian information criterion (eBIC), minimizing\ntraining error, minimizing the validation error, minimizing the\ncross-validation error, minimizing leave-one-out error. There\nare various choices of base classifier, for instance, linear\ndiscriminant analysis, quadratic discriminant analysis,\nk-nearest neighbour, logistic regression, decision trees,\nrandom forest, support vector machines. RaSE algorithm can also\nbe applied to do feature ranking, providing us the importance\nof each feature based on the selected percentage in multiple\nsubspaces. RaSE framework can be extended to the general\nprediction framework, including both classification and\nregression. We can use the selected percentages of variables\nfor variable screening. The latest version added the variable\nscreening function for both regression and classification\nproblems.", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "TRUE", "LazyDataCompression": "bzip2", "RoxygenNote": "7.1.2", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-17 09:01:38 UTC", "User": "root" }, "Config/pak/sysreqs": "libicu-dev", "Repository": "https://ytstat.r-universe.dev", "Date/Publication": "2021-10-16 03:50:06 UTC", "RemoteUrl": "https://github.com/cran/RaSEn", "RemoteRef": "HEAD", "RemoteSha": "eba0e58f31cd5a451880db9f714d9c9d797dc9d6", "MD5sum": "85e27abf9ca80709d2d3c6b5c5f3c49c", "_user": "ytstat", "_type": "src", "_file": "RaSEn_3.0.0.tar.gz", "_fileid": "af0f9dda3b268ff44580066d22c7bf1d6b13a80dd0b1792c6d91d8cbbb4cf460", "_filesize": 4443683, "_sha256": "af0f9dda3b268ff44580066d22c7bf1d6b13a80dd0b1792c6d91d8cbbb4cf460", "_created": "2026-05-17T09:01:38.000Z", "_published": "2026-06-02T17:08:23.508Z", "_distro": "noble", 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