collin: Visualization the Effects of Collinearity in Distributed LagModels 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 [aut, cre], Xavier Basagana [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:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=collinto link to this page.