Package: collin 0.0.4

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>.

Authors:Jose Barrera-Gomez [aut, cre], Xavier Basagana [aut]

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NEWS

# Install 'collin' in R:
install.packages('collin', repos = c('https://jobago.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • mempm25 - Working memory test scores and air pollution.
  • rhospno2 - Respiratory hospital admissions and air pollution.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 2 scripts 211 downloads 1 mentions 3 exports 8 dependencies

Last updated 1 years agofrom:b3131579b3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:collindlnmlagpadsimulatedlnm

Dependencies:dlnmlatticeMASSMatrixmgcvnlmetsModelVGAM

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

Rendered fromcollin.Rnwusingknitr::knitron Oct 31 2024.

Last update: 2022-02-22
Started: 2021-02-15