Package: marlod 0.1.1

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, 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_0.1.1.tar.gz
marlod_0.1.1.tar.gz(r-4.5-noble)marlod_0.1.1.tar.gz(r-4.4-noble)
marlod_0.1.1.tgz(r-4.4-emscripten)marlod_0.1.1.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.

2.38 score 12 scripts 162 downloads 8 exports 93 dependencies

Last updated 3 months agofrom:6b894ca38a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-linuxOKOct 27 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 Oct 27 2024.

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