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'))

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.

2.00 score 2 scripts 222 downloads 3 exports 113 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Nov 27 2024
R-4.5-linux	OK	Nov 27 2024

Exports:extract_mixture extract_weights lwqs

Dependencies:abind backports base64enc bookdown boot broom bslib cachem car carData cli codetools colorspace commonmark cowplot cpp11 crayon data.table Deriv digest doBy dplyr evaluate fansi farver fastmap fontawesome Formula fs future future.apply gamm4 generics ggplot2 ggrepel globals glue gridExtra gridSVG gtable gWQS highr htmltools httpuv isoband jquerylib jsonlite kableExtra knitr labeling later lattice lifecycle listenv lme4 magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr munsell nlme nloptr nnet numDeriv parallelly pbkrtest pillar pkgconfig plotROC plyr promises pscl purrr quantreg R6 rappdirs RColorBrewer Rcpp RcppEigen reshape2 rlang rlist rmarkdown rstudioapi sass scales shiny sourcetools SparseM stringi stringr survival svglite systemfonts tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun XML xml2 xtable yaml

Introduction to Lagged Weighted Quantile Sum Regression

Paul Curtin, Stefano Renzetti, Chris Gennings

Rendered fromlwqs-vignette.Rmdusingknitr::rmarkdownon Nov 27 2024.

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

Citation

Readme and manuals

Help Manual

Help page	Topics
Function to extract time-varying mixture (wqs) index from lWQS object	extract_mixture
Function to extract time-varying weights from lWQS object	extract_weights
Wrapper function for the implementaion of lagged WQS.	lwqs
Simulated dataset for accompanying vignette	lwqs_data