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collin: Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models

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 ORCID iD [aut, cre], Xavier Basagana ORCID iD [aut]
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

Documentation:

Reference manual: collin.pdf
Vignettes: Using collin to visualize the effects of collinearity in distributed lag models

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=collin 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.
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