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'))

Peer review:

Datasets:

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

2.56 score 12 scripts 176 downloads 8 exports 93 dependencies

Last updated 18 days agofrom:e42957c6d8. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 30 2024
R-4.5-linuxOKNov 30 2024

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

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodacolorspacecondMVNormcpp11data.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2glm2gluegmmgridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsinvgammaisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmatrixNormalmcmcMCMCpackmemoisemgcvmimemiWQSmunsellmvtnormnlmennetpillarpkgconfigpurrrquantregR6rappdirsRColorBrewerrlangrlistrmarkdownrpartRsolnprstudioapisandwichsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytextmvmixnormtmvtnormtruncnormutf8vctrsviridisviridisLitewithrxfunXMLyamlzoo

User Guide for the R Package: marlod

Rendered frommarlod.Rmdusingknitr::rmarkdownon Nov 30 2024.

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