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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