Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Jose Barrera-Gomez [aut, cre] (<https://orcid.org/0000-0002-2688-6036>), Xavier Basagana [aut] (<https://orcid.org/0000-0002-8457-1489>) |
| Maintainer | Jose Barrera-Gomez <jose.barrera@isglobal.org> |
| License | GPL-3 |
| Version | 0.0.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the collin package in your browser
Any scripts or data that you put into this service are public.
