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collin
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]
[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:
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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