IOLS: Iterated Ordinary Least Squares Regression (original) (raw)
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:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=IOLSto link to this page.