Iterated Ordinary Least Squares Regression
Overview
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/.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-13
Show 2 earlier changesHide 2 earlier changes
- WARNING13 OK, 1 WARNING2026-03-12
- OK14 OK2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing IOLS adds 91 packages (48 with compiled code, 80 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.4Latest
- 0.1.32023-03-18 · diff ↗
- 0.1.2
- 0.1.1
- 0.1.02022-11-08
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-11-08
- Total releases
- 5 / 4 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 19 KB / 1 file
- Download size
- 28 KB
Cite
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