Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models R package collin version 0.0.4 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>. Software Depends: R (>= 4.1) Imports: dlnm, graphics, grDevices, MASS, mgcv, nlme, stats, utils, VGAM Suggests: knitr, rmarkdown, splines, xtable Jose Barrera-Gomez <jose.barrera@isglobal.org> Comprehensive R Archive Network (CRAN) Jose Barrera-Gomez [aut, cre] (ORCID: <https://orcid.org/0000-0002-2688-6036>), Xavier Basagana [aut] (ORCID: <https://orcid.org/0000-0002-8457-1489>) GPL-3 2023-09-19 application/tgz https://CRAN.R-project.org/package=collin doi:10.32614/CRAN.package.collin