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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.2 |
rolling linux/jammy R-4.5 | lodi_0.9.2.tar.gz |
47.4 KiB |
0.9.2 |
rolling linux/noble R-4.5 | lodi_0.9.2.tar.gz |
47.4 KiB |
0.9.2 |
rolling source/ R- | lodi_0.9.2.tar.gz |
19.3 KiB |
0.9.2 |
latest linux/jammy R-4.5 | lodi_0.9.2.tar.gz |
47.4 KiB |
0.9.2 |
latest linux/noble R-4.5 | lodi_0.9.2.tar.gz |
47.4 KiB |
0.9.2 |
latest source/ R- | lodi_0.9.2.tar.gz |
19.3 KiB |
0.9.2 |
2026-04-26 source/ R- | lodi_0.9.2.tar.gz |
19.3 KiB |
0.9.2 |
2026-04-23 source/ R- | lodi_0.9.2.tar.gz |
19.3 KiB |
0.9.2 |
2026-04-09 windows/windows R-4.5 | lodi_0.9.2.zip |
51.6 KiB |
0.9.2 |
2025-04-20 source/ R- | lodi_0.9.2.tar.gz |
19.3 KiB |