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lodi  

Limit of Detection Imputation for Single-Pollutant Models
View on CRAN: Click here


Download and install lodi package within the R console
Install from CRAN:
install.packages("lodi")

Install from Github:
library("remotes")
install_github("cran/lodi")

Install by package version:
library("remotes")
install_version("lodi", "0.9.2")



Attach the package and use:
library("lodi")
Maintained by
Alexander Rix
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-18
Latest Update: 2020-02-07
Description:
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.
How to cite:
Alexander Rix (2019). lodi: Limit of Detection Imputation for Single-Pollutant Models. R package version 0.9.2, https://cran.r-project.org/web/packages/lodi. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.9.0 (2019-07-18 18:40), 0.9.1 (2019-08-28 19:00), 0.9.2 (2020-02-07 16:30)
Other packages that cited lodi R package
View lodi citation profile
Other R packages that lodi depends, imports, suggests or enhances
Complete documentation for lodi
Functions, R codes and Examples using the lodi R package
Some associated functions: clmi . lod_cca . lod_root2 . pool.clmi . toy_data . 
Some associated R codes: cca-r2.R . clmi.R . data.R .  Full lodi package functions and examples
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