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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