Package: marlod 0.1.2

I-Chen Chen

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.

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

marlod_0.1.2.tar.gz
marlod_0.1.2.tar.gz(r-4.5-noble)marlod_0.1.2.tar.gz(r-4.4-noble)
marlod_0.1.2.tgz(r-4.4-emscripten)marlod_0.1.2.tgz(r-4.3-emscripten)
marlod.pdf |marlod.html✨
marlod/json (API)

# Install 'marlod' in R:
install.packages('marlod', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 246 downloads 8 exports 93 dependencies

Last updated 3 months agofrom:e42957c6d8. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 29 2025
R-4.5-linuxOKJan 29 2025

Exports:FillinModified.GEEModified.GMMModified.QIFQuantile.FWZQuantile.select.FWZSelected.GEESelected.QIF

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodacolorspacecondMVNormcpp11data.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2glm2gluegmmgridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsinvgammaisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmatrixNormalmcmcMCMCpackmemoisemgcvmimemiWQSmunsellmvtnormnlmennetpillarpkgconfigpurrrquantregR6rappdirsRColorBrewerrlangrlistrmarkdownrpartRsolnprstudioapisandwichsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytextmvmixnormtmvtnormtruncnormutf8vctrsviridisviridisLitewithrxfunXMLyamlzoo

User Guide for the R Package: marlod

Rendered frommarlod.Rmdusingknitr::rmarkdownon Jan 29 2025.

Last update: 2024-11-29
Started: 2024-08-24