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) . CLMI handles exposure detection limits that may change throughout the course of exposure assessment. 'lodi' provides functions for imputing and pooling for this method.


Reference manual

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0.9.2 by Alexander Rix, a year ago

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Authors: Jonathan Boss [aut] , Alexander Rix [aut, cre]

Documentation:   PDF Manual  

Task views: Missing Data

GPL-3 license

Imports stats, rlang

Suggests testthat, knitr, rmarkdown

See at CRAN