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IOLS: Iterated Ordinary Least Squares Regression

Addresses the 'log of zero' by developing a new family of estimators called iterated Ordinary Least Squares. This family nests standard approaches such as log-linear and Poisson regressions, offers several computational advantages, and corresponds to the correct way to perform the popular log(Y + 1) transformation. For more details about how to use it, see the notebook at: <https://www.davidbenatia.com/>.

Version:0.1.4
Depends:R (≥ 2.10)
Imports:stats, utils,sandwich,matlib,boot,randomcoloR,stringr
Published:2023-04-07
DOI:10.32614/CRAN.package.IOLS
Author:Nassim Zbalah [cre], David Benatia [aut]
Maintainer:Nassim Zbalah <nas66.nz at gmail.com>
License:GPL-3
NeedsCompilation:no
CRAN checks:IOLS results

Documentation:

Reference manual:IOLS.html ,IOLS.pdf

Downloads:

Package source: IOLS_0.1.4.tar.gz
Windows binaries: r-devel:IOLS_0.1.4.zip, r-release:IOLS_0.1.4.zip, r-oldrel:IOLS_0.1.4.zip
macOS binaries: r-release (arm64):IOLS_0.1.4.tgz, r-oldrel (arm64):IOLS_0.1.4.tgz, r-release (x86_64):IOLS_0.1.4.tgz, r-oldrel (x86_64):IOLS_0.1.4.tgz
Old sources: IOLS archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=IOLSto link to this page.


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