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marlod

Marginal Modeling for Exposure Data with Values Below the LOD

Functions of marginal mean and quantile regression models are used to analyze environmental exposure and biomonitoring data with repeated measurements and non-detects (i.e., values below the limit of detection (LOD)), as well as longitudinal exposure data that include non-detects and time-dependent covariates. For more details see Chen IC, Bertke SJ, Curwin BD (2021) <doi:10.1038/s41370-021-00345-1>, Chen IC, Bertke SJ, Estill CF (2024) <doi:10.1038/s41370-024-00640-7>, Chen IC, Bertke SJ, Dahm MM (2024) <doi:10.1093/annweh/wxae068>, and Chen IC (2025) <doi:10.1038/s41370-025-00752-8>.

Versions across snapshots

VersionRepositoryFileSize
0.2.3 rolling linux/jammy R-4.5 marlod_0.2.3.tar.gz 460.3 KiB
0.2.3 rolling linux/noble R-4.5 marlod_0.2.3.tar.gz 460.2 KiB
0.2.3 rolling source/ R- marlod_0.2.3.tar.gz 84.3 KiB
0.2.3 latest linux/jammy R-4.5 marlod_0.2.3.tar.gz 460.3 KiB
0.2.3 latest linux/noble R-4.5 marlod_0.2.3.tar.gz 460.2 KiB
0.2.3 latest source/ R- marlod_0.2.3.tar.gz 84.3 KiB
0.2.3 2026-04-26 source/ R- marlod_0.2.3.tar.gz 84.3 KiB
0.2.3 2026-04-23 source/ R- marlod_0.2.3.tar.gz 84.3 KiB
0.2.2 2026-04-09 windows/windows R-4.5 marlod_0.2.2.zip 463.8 KiB
0.2.0 2025-04-20 source/ R- marlod_0.2.0.tar.gz 84.0 KiB

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