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.
| 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 <okv0 at cdc.gov> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | marlod results |
Documentation:
| Reference manual: | marlod.pdf |
| Vignettes: |
User Guide for the R Package: _marlod_ (source, R code) |
Downloads:
| Package source: | marlod_0.1.2.tar.gz |
| Windows binaries: | r-devel: marlod_0.1.2.zip, r-release: marlod_0.1.2.zip, r-oldrel: marlod_0.1.2.zip |
| macOS binaries: | r-release (arm64): marlod_0.1.2.tgz, r-oldrel (arm64): marlod_0.1.2.tgz, r-release (x86_64): marlod_0.1.2.tgz, r-oldrel (x86_64): marlod_0.1.2.tgz |
| Old sources: | marlod archive |
Linking:
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