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 |
| 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 |
| Reference manual: | lodi.pdf |
| Vignettes: |
Censored Likelihood Multiple Imputation in R |
| 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 |
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