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  "Title": "Generation of Full Rank Design Matrix",
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  "Authors@R": "c(\nperson(\"Paula\", \"Weidemueller\", , \"paulahw3214@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0000-0003-3867-3131\", Twitter = \"@PaulaH_W\")),\nperson(\"Constantin\", \"Ahlmann-Eltze\", , \"artjom31415@googlemail.com\", role = c(\"aut\"), comment = c(ORCID = \"0000-0002-3762-068X\", Twitter = \"@const_ae\"))\n)",
  "Description": "Creates a full rank matrix out of a given matrix. The\nintended use is for one-hot encoded design matrices that should\nbe used in linear models to ensure that significant\nassociations can be correctly interpreted. However,\n'fullRankMatrix' can be applied to any matrix to make it full\nrank. It removes columns with only 0's, merges duplicated\ncolumns and discovers linearly dependent columns and replaces\nthem with linearly independent columns that span the space of\nthe original columns. Columns are renamed to reflect those\nmodifications. This results in a full rank matrix that can be\nused as a design matrix in linear models. The algorithm and\nsome functions are inspired by Kuhn, M. (2008)\n<doi:10.18637/jss.v028.i05>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "URL": "https://github.com/Pweidemueller/fullRankMatrix",
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  "Language": "en-US",
  "Repository": "https://pweidemueller.r-universe.dev",
  "Date/Publication": "2024-07-04 13:42:36 UTC",
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  "Author": "Paula Weidemueller [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-3867-3131>, Twitter: @PaulaH_W),\nConstantin Ahlmann-Eltze [aut] (ORCID:\n<https://orcid.org/0000-0002-3762-068X>, Twitter: @const_ae)",
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