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lodi: Limit of Detection Imputation for Single-Pollutant Models
Impute observed values below the limit of detection (LOD) via censored likelihood multiple imputation (CLMI) in single-pollutant models, developed by Boss et al (2019) <doi:10.1097/EDE.0000000000001052>. CLMI handles exposure detection limits that may change throughout the course of exposure assessment. 'lodi' provides functions for imputing and pooling for this method.
Getting started
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Package details |
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| Author | Jonathan Boss [aut], Alexander Rix [aut, cre] |
| Maintainer | Alexander Rix <alexrix@umich.edu> |
| License | GPL-3 |
| Version | 0.9.2 |
| URL | https://github.com/umich-cphds/lodi |
| Package repository | View on CRAN |
| Installation |
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