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Tool to assessing whether the results of a study could be influenced by collinearity. Simulations under a given hypothesized truth regarding effects of an exposure on the outcome are used and the resulting curves of lagged effects are visualized. A user's manual is provided, which includes detailed examples (e.g. a cohort study looking for windows of vulnerability to air pollution, a time series study examining the linear association of air pollution with hospital admissions, and a time series study examining the non-linear association between temperature and mortality). The methods are described in Basagana and Barrera-Gomez (2021) <doi:10.1093/ije/dyab179>.
Version: | 0.0.4 |
Depends: | R (≥ 4.1) |
Imports: | dlnm, graphics, grDevices, MASS, mgcv, nlme, stats, utils, VGAM |
Suggests: | knitr, rmarkdown, splines, xtable |
Published: | 2023-09-19 |
DOI: | 10.32614/CRAN.package.collin |
Author: | Jose Barrera-Gomez
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Maintainer: | Jose Barrera-Gomez <jose.barrera at isglobal.org> |
License: | GPL-3 |
NeedsCompilation: | no |
Citation: | collin citation info |
Materials: | README NEWS |
CRAN checks: | collin results |
Reference manual: | collin.pdf |
Vignettes: |
Using collin to visualize the effects of collinearity in distributed lag models |
Package source: | collin_0.0.4.tar.gz |
Windows binaries: | r-devel: collin_0.0.4.zip, r-release: collin_0.0.4.zip, r-oldrel: collin_0.0.4.zip |
macOS binaries: | r-release (arm64): collin_0.0.4.tgz, r-oldrel (arm64): collin_0.0.4.tgz, r-release (x86_64): collin_0.0.4.tgz, r-oldrel (x86_64): collin_0.0.4.tgz |
Old sources: | collin archive |
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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.
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