The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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

Documentation:

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

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lwqs to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.