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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, as well as longitudinal exposure data that include non-detects and time-dependent covariates.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: MASS, miWQS, quantreg, stats, knitr
Suggests: rmarkdown, testthat (≥ 3.0.0)
Published: 2024-08-27
DOI: 10.32614/CRAN.package.marlod
Author: I-Chen Chen ORCID iD [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_0.1.1.tar.gz
Windows binaries: r-devel: marlod_0.1.1.zip, r-release: marlod_0.1.1.zip, r-oldrel: marlod_0.1.1.zip
macOS binaries: r-release (arm64): marlod_0.1.1.tgz, r-oldrel (arm64): marlod_0.1.1.tgz, r-release (x86_64): marlod_0.1.1.tgz, r-oldrel (x86_64): marlod_0.1.1.tgz
Old sources: marlod archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.