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>.

Version: 0.5.0
Depends: R (≥ 3.5.0)
Imports: data.table, ggplot2, plyr, gridExtra, gWQS, gamm4
Suggests: knitr, rmarkdown
Published: 2021-03-04
DOI: 10.32614/CRAN.package.lwqs
Author: Paul Curtin [aut, cre], Stefano Renzetti [aut], Chris Gennings [aut]
Maintainer: Paul Curtin <paul.curtin at mssm.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: lwqs results


Reference manual: lwqs.pdf
Vignettes: Introduction to Lagged Weighted Quantile Sum Regression


Package source: lwqs_0.5.0.tar.gz
Windows binaries: r-devel: lwqs_0.5.0.zip, r-release: lwqs_0.5.0.zip, r-oldrel: lwqs_0.5.0.zip
macOS binaries: r-release (arm64): lwqs_0.5.0.tgz, r-oldrel (arm64): lwqs_0.5.0.tgz, r-release (x86_64): lwqs_0.5.0.tgz, r-oldrel (x86_64): lwqs_0.5.0.tgz


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