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.html , lwqs.pdf | 
| Vignettes: | Introduction to Lagged Weighted Quantile Sum Regression (source, R code) | 
| 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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