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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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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.