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: 2026-10-13 12:37:50 UTC; root
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: https://jobago.r-universe.dev
Date/Publication: 2023-09-19 10:32:52 UTC
RemoteUrl: https://github.com/cran/collin
RemoteRef: HEAD
RemoteSha: b3131579b3f0a6b2378489fcadf05a62bd2d6359