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collin  

Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models
View on CRAN: Click here


Download and install collin package within the R console
Install from CRAN:
install.packages("collin")

Install from Github:
library("remotes")
install_github("cran/collin")

Install by package version:
library("remotes")
install_version("collin", "0.0.4")



Attach the package and use:
library("collin")
Maintained by
Jose Barrera-Gomez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-15
Latest Update: 2023-09-19
Description:
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) .
How to cite:
Jose Barrera-Gomez (2021). collin: Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models. R package version 0.0.4, https://cran.r-project.org/web/packages/collin
Previous versions and publish date:
0.0.1 (2021-02-15 17:30), 0.0.2 (2022-02-22 23:00), 0.0.3 (2023-09-18 15:10)
Other packages that cited collin R package
View collin citation profile
Other R packages that collin depends, imports, suggests or enhances
Functions, R codes and Examples using the collin R package
Some associated functions: collin-package . collindlnm . lagpad . mempm25 . plot.collindlnmlinear . plot.collindlnmnonlinear . rbinomod . rhospno2 . rod . rpoisod . simulatedlnm . 
Some associated R codes: collin-package.R . collindlnm.R . internal_functions.R . lagpad.R . mempm25.R . onAttach.R . plotcollindlnm.R . rhospno2.R . simulatedlnm.R .  Full collin package functions and examples
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