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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/>.
Getting started
Browse package contents
Package details |
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| Author | Nassim Zbalah [cre], David Benatia [aut] |
| Maintainer | Nassim Zbalah <nas66.nz@gmail.com> |
| License | GPL-3 |
| Version | 0.1.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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