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: 0.1.1
Depends: R (≥ 2.10)
Imports: stats, utils, sandwich, matlib, boot, randomcoloR, stringr
Published: 2022-11-24
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.pdf

Downloads:

Package source: IOLS_0.1.1.tar.gz
Windows binaries: r-devel: IOLS_0.1.1.zip, r-release: IOLS_0.1.0.zip, r-oldrel: IOLS_0.1.0.zip
macOS binaries: r-release (arm64): IOLS_0.1.0.tgz, r-oldrel (arm64): IOLS_0.1.0.tgz, r-release (x86_64): IOLS_0.1.1.tgz, r-oldrel (x86_64): IOLS_0.1.1.tgz
Old sources: IOLS archive

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