CRAN/E | collin

collin

Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models

Installation

About

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.

Citation collin citation info

Key Metrics

Version 0.0.4
R ≥ 4.1
Published 2023-09-19 221 days ago
Needs compilation? no
License GPL-3
CRAN checks collin results

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Maintainer

Maintainer

Jose Barrera-Gomez

jose.barrera@isglobal.org

Authors

Jose Barrera-Gomez

aut / cre

Xavier Basagana

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Using collin to visualize the effects of collinearity in distributed lag models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

collin archive

Depends

R ≥ 4.1

Imports

dlnm
graphics
grDevices
MASS
mgcv
nlme
stats
utils
VGAM

Suggests

knitr
rmarkdown
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