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.
- Version0.9.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release02/07/2020
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Alexander Rix
Jonathan Boss
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