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) , Chen IC, Bertke SJ, Estill CF (2024) , Chen IC, Bertke SJ, Dahm MM (2024) , and Chen IC (2025) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("marlod")

0.2.3 by I-Chen Chen, 6 months ago


Browse source code at https://github.com/cran/marlod


Authors: I-Chen Chen [cre, aut] , Philip Westgate [ctb] , Liya Fu [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, survival, quantreg, stats, knitr, utils

Suggests rmarkdown, testthat


See at CRAN