Package: lodi 0.9.2

Alexander Rix

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.

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

lodi_0.9.2.tar.gz
lodi_0.9.2.zip(r-4.7)lodi_0.9.2.zip(r-4.6)lodi_0.9.2.zip(r-4.5)
lodi_0.9.2.tgz(r-4.6-any)lodi_0.9.2.tgz(r-4.5-any)
lodi_0.9.2.tar.gz(r-4.7-any)lodi_0.9.2.tar.gz(r-4.6-any)
lodi_0.9.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lodi/json (API)
NEWS

# Install 'lodi' in R:
install.packages('lodi', repos = c('https://umich-cphds.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/umich-cphds/lodi/issues

Datasets:

On CRAN:

Conda:

3.74 score 1 stars 11 scripts 166 downloads 4 exports 1 dependencies

Last updated from:3f070dd561. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK112
source / vignettesOK163
linux-release-x86_64OK100
macos-release-arm64OK88
macos-oldrel-arm64OK102
windows-develOK77
windows-releaseOK64
windows-oldrelOK71
wasm-releaseOK96

Exports:clmilod_ccalod_root2pool.clmi

Dependencies:rlang

Censored Likelihood Multiple Imputation in R

Jonathan Boss

Rendered fromlodi.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2019-08-20
Started: 2019-06-13