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
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lodi.pdf |lodi.html✨
lodi/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

4 exports 0.62 score 1 dependencies 10 scripts 169 downloads

Last updated 5 years agofrom:3f070dd561. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:clmilod_ccalod_root2pool.clmi

Dependencies:rlang

Censored Likelihood Multiple Imputation in R

Jonathan Boss

Rendered fromlodi.Rmdusingknitr::rmarkdownon Sep 17 2024.

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