{ "_id": "6a1aac081d7bb097a09d4dd0", "Package": "RCASPAR", "Type": "Package", "Title": "A package for survival time prediction based on a piecewise\nbaseline hazard Cox regression model.", "Version": "1.59.0", "Date": "2010-08-23", "Author": "Douaa Mugahid, Lars Kaderali", "Maintainer": "Douaa Mugahid , Lars Kaderali\n", "Description": "The package is the R-version of the C-based software\n\\bold{CASPAR} (Kaderali,2006:\n\\url{http://bioinformatics.oxfordjournals.org/content/22/12/1495}).\nIt is meant to help predict survival times in the presence of\nhigh-dimensional explanatory covariates. The model is a\npiecewise baseline hazard Cox regression model with an Lq-norm\nbased prior that selects for the most important regression\ncoefficients, and in turn the most relevant covariates for\nsurvival analysis. It was primarily tried on gene expression\nand aCGH data, but can be used on any other type of\nhigh-dimensional data and in disciplines other than biology and\nmedicine.", "biocViews": "aCGH, GeneExpression, Genetics, Proteomics, Visualization", "License": "GPL (>=3)", "LazyLoad": "yes", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:35:29 UTC", "RemoteUrl": "https://github.com/bioc/RCASPAR", "RemoteRef": "HEAD", "RemoteSha": "60a39471447c39cc39356c742a90c69e84accaf5", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-30 07:01:11 UTC", "User": "root" }, "MD5sum": "52ff8bfc2429739a329e54f35c8ac981", "_user": "bioc", "_type": "src", "_file": "RCASPAR_1.59.0.tar.gz", "_fileid": "a25240afe28779fa526f77059d48c85f51ce1edcab9144d80fdd7939099ce708", "_filesize": 447866, "_sha256": "a25240afe28779fa526f77059d48c85f51ce1edcab9144d80fdd7939099ce708", "_created": "2026-05-30T07:01:11.000Z", "_published": "2026-05-30T09:21:12.744Z", "_jobs": [ { "job": 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