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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.

Version:0.9.2
Depends:R (≥ 3.1.0)
Imports:stats,rlang (≥ 0.3.0)
Suggests:testthat,knitr,rmarkdown
Published:2020-02-07
DOI:10.32614/CRAN.package.lodi
Author:Jonathan Boss [aut], Alexander Rix [aut, cre]
Maintainer:Alexander Rix <alexrix at umich.edu>
BugReports:https://github.com/umich-cphds/lodi/issues
License:GPL-3
URL:https://github.com/umich-cphds/lodi
NeedsCompilation:no
Materials:README,NEWS
In views:MissingData
CRAN checks:lodi results

Documentation:

Reference manual:lodi.html ,lodi.pdf
Vignettes:Censored Likelihood Multiple Imputation in R (source,R code)

Downloads:

Package source: lodi_0.9.2.tar.gz
Windows binaries: r-devel:lodi_0.9.2.zip, r-release:lodi_0.9.2.zip, r-oldrel:lodi_0.9.2.zip
macOS binaries: r-release (arm64):lodi_0.9.2.tgz, r-oldrel (arm64):lodi_0.9.2.tgz, r-release (x86_64):lodi_0.9.2.tgz, r-oldrel (x86_64):lodi_0.9.2.tgz
Old sources: lodi archive

Linking:

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