Package: collin
Title: Visualization the Effects of Collinearity in Distributed Lag
        Models and Other Linear Models
Version: 0.0.4
Authors@R: 
    c(person(given = "Jose", family = "Barrera-Gomez", role = c("aut", "cre"), email = "jose.barrera@isglobal.org",
                    comment = c(ORCID = "0000-0002-2688-6036")),
             person(given = "Xavier", family = "Basagana", role = "aut", email = "xavier.basagana@isglobal.org",
                    comment = c(ORCID = "0000-0002-8457-1489")))
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) <doi:10.1093/ije/dyab179>.
Depends: R (>= 4.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dlnm, graphics, grDevices, MASS, mgcv, nlme, stats, utils,
        VGAM
Suggests: knitr, rmarkdown, splines, xtable
RoxygenNote: 7.2.3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-18 14:18:30 UTC; jbarrera
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>
Repository: CRAN
Date/Publication: 2023-09-19 09:00:06 UTC
Built: R 4.2.0; ; 2023-09-19 10:53:34 UTC; unix
