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fRLR: Fit Repeated Linear Regressions

When fitting a set of linear regressions which have some same variables, we can separate the matrix and reduce the computation cost. This package aims to fit a set of repeated linear regressions faster. More details can be found in this blog Lijun Wang (2017) <https://stats.hohoweiya.xyz/regression/2017/09/26/An-R-Package-Fit-Repeated-Linear-Regressions/>.

Version: 1.3.0
Imports: Rcpp (≥ 0.12.12)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-10-12
DOI: 10.32614/CRAN.package.fRLR
Author: Lijun Wang [aut, cre, cph]
Maintainer: Lijun Wang <szcfweiya at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/szcf-weiya/fRLR, https://stats.hohoweiya.xyz/regression/2017/09/26/An-R-Package-Fit-Repeated-Linear-Regressions/
NeedsCompilation: yes
SystemRequirements: GNU Scientific Library (GSL). Note: users should have GSL installed.
CRAN checks: fRLR results

Documentation:

Reference manual: fRLR.pdf
Vignettes: fRLR: Fit Repeated Linear Regressions

Downloads:

Package source: fRLR_1.3.0.tar.gz
Windows binaries: r-devel: fRLR_1.3.0.zip, r-release: fRLR_1.3.0.zip, r-oldrel: fRLR_1.3.0.zip
macOS binaries: r-release (arm64): fRLR_1.3.0.tgz, r-oldrel (arm64): fRLR_1.3.0.tgz, r-release (x86_64): fRLR_1.3.0.tgz, r-oldrel (x86_64): fRLR_1.3.0.tgz
Old sources: fRLR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.