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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>.
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Package details |
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| Author | I-Chen Chen [cre, aut] (0000-0001-6764-8395), Philip Westgate [ctb], Liya Fu [ctb] |
| Maintainer | I-Chen Chen <flecsh@gmail.com> |
| License | GPL-3 |
| Version | 0.2.1 |
| Package repository | View on CRAN |
| Installation |
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