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: 0.0.2
Depends: R (≥ 4.1)
Imports: dlnm, graphics, grDevices, MASS, mgcv, nlme, stats, utils, VGAM
Suggests: knitr, rmarkdown, splines, xtable
Published: 2022-02-22
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: 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_0.0.2.tar.gz
Windows binaries: r-devel: collin_0.0.2.zip, r-release: collin_0.0.2.zip, r-oldrel: collin_0.0.1.zip
macOS binaries: r-release (arm64): collin_0.0.2.tgz, r-release (x86_64): collin_0.0.2.tgz, r-oldrel: collin_0.0.1.tgz
Old sources: collin archive

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