{ "_id": "6acf342bd9de2f3f33fc915e", "Package": "biospear", "Type": "Package", "Title": "Biomarker Selection in Penalized Regression Models", "Version": "1.0.2", "Author": "Nils Ternes [aut], Federico Rotolo [aut], Stefan Michiels [aut,\ncre]", "Maintainer": "Stefan Michiels ", "Description": "Provides some tools for developing and validating\nprediction models, estimate expected survival of patients and\nvisualize them graphically. Most of the implemented methods are\nbased on penalized regressions such as: the lasso (Tibshirani R\n(1996)), the elastic net (Zou H et al. (2005)\n), the adaptive lasso\n(Zou H (2006) ), the stability\nselection (Meinshausen N et al. (2010)\n), some extensions of the\nlasso (Ternes et al. (2016) ), some\nmethods for the interaction setting (Ternes N et al. (2016)\n), or others. A function generating\nsimulated survival data set is also provided.", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-14 07:30:32 UTC", "User": "root" }, "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev\nlibfribidi-dev git libglpk-dev libglu1-mesa-dev make\nlibharfbuzz-dev texlive libgit2-dev libicu-dev libjpeg-dev\nlibpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev\nlibgl1-mesa-dev libssl-dev libx11-dev zlib1g-dev", "Repository": "https://stefanmichielsgr.r-universe.dev", "Date/Publication": "2018-12-04 09:20:19 UTC", "RemoteUrl": "https://github.com/cran/biospear", "RemoteRef": "HEAD", "RemoteSha": "45bd46eaa0e17d6f3be87c722d9b2a1c6a5b4d0f", "_user": "stefanmichielsgr", "_type": "src", "_file": "biospear_1.0.2.tar.gz", "_fileid": "https://r2.ropensci.org/52de57a4efda1a1cf5583dd89dc889dec0e63e3e583654c531648e753c4eedb1", "_filesize": 2448172, "_sha256": 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