fullRankMatrix: Generation of Full Rank Design Matrix

Creates a full rank matrix out of a given matrix. The intended use is for one-hot encoded design matrices that should be used in linear models to ensure that significant associations can be correctly interpreted. However, 'fullRankMatrix' can be applied to any matrix to make it full rank. It removes columns with only 0's, merges duplicated columns and discovers linearly dependent columns and replaces them with linearly independent columns that span the space of the original columns. Columns are renamed to reflect those modifications. This results in a full rank matrix that can be used as a design matrix in linear models. The algorithm and some functions are inspired by Kuhn, M. (2008) <doi:10.18637/jss.v028.i05>.

Version:	0.1.0
Suggests:	knitr, rmarkdown, igraph, testthat (≥ 3.0.0), WeightIt, caret, plm, spelling
Published:	2024-06-28
DOI:	10.32614/CRAN.package.fullRankMatrix
Author:	Paula Weidemueller [aut, cre, cph] (@PaulaH_W), Constantin Ahlmann-Eltze [aut] (@const_ae)
Maintainer:	Paula Weidemueller <paulahw3214 at gmail.com>
BugReports:	https://github.com/Pweidemueller/fullRankMatrix/issues
License:	MIT + file LICENSE
URL:	https://github.com/Pweidemueller/fullRankMatrix
NeedsCompilation:	no
Language:	en-US
Citation:	fullRankMatrix citation info
Materials:	README NEWS
CRAN checks:	fullRankMatrix results

Documentation:

Reference manual:	fullRankMatrix.pdf
Vignettes:	fullrankmat-comparison fullrankmat-example

Downloads:

Package source:	fullRankMatrix_0.1.0.tar.gz
Windows binaries:	r-devel: fullRankMatrix_0.1.0.zip, r-release: fullRankMatrix_0.1.0.zip, r-oldrel: fullRankMatrix_0.1.0.zip
macOS binaries:	r-release (arm64): fullRankMatrix_0.1.0.tgz, r-oldrel (arm64): fullRankMatrix_0.1.0.tgz, r-release (x86_64): fullRankMatrix_0.1.0.tgz, r-oldrel (x86_64): fullRankMatrix_0.1.0.tgz

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