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:
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