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.


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Reference manual

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install.packages("lodi")

0.9.1 by Alexander Rix, 4 months ago


https://github.com/umich-cphds/lodmi


Report a bug at https://github.com/umich-cphds/lodmi/issues


Browse source code at https://github.com/cran/lodi


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


Documentation:   PDF Manual  


GPL-3 license


Imports stats, rlang

Suggests knitr, rmarkdown


See at CRAN