marlod: Marginal Modeling for Exposure Data with Values Below the LOD (original) (raw)
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.
| Version: | 0.1.2 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | MASS, miWQS, quantreg, stats, knitr |
| Suggests: | rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-11-29 |
| DOI: | 10.32614/CRAN.package.marlod |
| Author: | I-Chen Chen  [cre, aut], Philip Westgate [ctb], Liya Fu [ctb] |
| Maintainer: | I-Chen Chen |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | marlod results |
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