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/>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.4 |
rolling linux/jammy R-4.5 | IOLS_0.1.4.tar.gz |
60.8 KiB |
0.1.4 |
rolling linux/noble R-4.5 | IOLS_0.1.4.tar.gz |
60.6 KiB |
0.1.4 |
rolling source/ R- | IOLS_0.1.4.tar.gz |
28.0 KiB |
0.1.4 |
latest linux/jammy R-4.5 | IOLS_0.1.4.tar.gz |
60.8 KiB |
0.1.4 |
latest linux/noble R-4.5 | IOLS_0.1.4.tar.gz |
60.6 KiB |
0.1.4 |
latest source/ R- | IOLS_0.1.4.tar.gz |
28.0 KiB |
0.1.4 |
2026-04-26 source/ R- | IOLS_0.1.4.tar.gz |
28.0 KiB |
0.1.4 |
2026-04-23 source/ R- | IOLS_0.1.4.tar.gz |
28.0 KiB |
0.1.4 |
2026-04-09 windows/windows R-4.5 | IOLS_0.1.4.zip |
63.7 KiB |
0.1.4 |
2025-04-20 source/ R- | IOLS_0.1.4.tar.gz |
28.0 KiB |