Package: lwqs 0.5.0

Paul Curtin

lwqs: Lagged Weighted Quantile Sum Regression

Wrapper functions for the implementation of lagged weighted quantile sum regression, as per 'Gennings et al' (2020) <doi:10.1016/j.envres.2020.109529>.

Authors:Paul Curtin [aut, cre], Stefano Renzetti [aut], Chris Gennings [aut]

lwqs_0.5.0.tar.gz
lwqs_0.5.0.tar.gz(r-4.5-noble)lwqs_0.5.0.tar.gz(r-4.4-noble)
lwqs_0.5.0.tgz(r-4.4-emscripten)lwqs_0.5.0.tgz(r-4.3-emscripten)
lwqs.pdf |lwqs.html
lwqs/json (API)

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

Peer review:

Datasets:
  • lwqs_data - Simulated dataset for accompanying vignette

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

3 exports 0.00 score 112 dependencies 2 scripts 291 downloads

Last updated 4 years agofrom:1356ee821a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 29 2024
R-4.5-linuxOKAug 29 2024

Exports:extract_mixtureextract_weightslwqs

Dependencies:abindbackportsbase64encbookdownbootbroombslibcachemcarcarDataclicodetoolscolorspacecommonmarkcowplotcpp11crayondata.tableDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomefsfuturefuture.applygamm4genericsggplot2ggrepelglobalsgluegridExtragridSVGgtablegWQShighrhtmltoolshttpuvisobandjquerylibjsonlitekableExtraknitrlabelinglaterlatticelifecyclelistenvlme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivparallellypbkrtestpillarpkgconfigplotROCplyrpromisespsclpurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrlistrmarkdownrstudioapisassscalesshinysourcetoolsSparseMstringistringrsurvivalsvglitesystemfontstibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunXMLxml2xtableyaml

Introduction to Lagged Weighted Quantile Sum Regression

Rendered fromlwqs-vignette.Rmdusingknitr::rmarkdownon Aug 29 2024.

Last update: 2021-03-04
Started: 2021-03-04