Package: SCCS
Type: Package
Title: The Self-Controlled Case Series Method
Version: 1.8
Date: 2026-10-15
Authors@R: c(person(given = c("Yonas", "Ghebremichael"),
                      family = "Weldeselassie",
                      role = c("aut", "cre"),
                      email = "yonas.weldeselassie@open.ac.uk"),
               person(given = "Heather",
                      family = "Whitaker",
                      role = "aut"),
               person(given = "Paddy",
                      family = "Farrington",
                      role = "aut"))
Description: Various self-controlled case series models used to
        investigate associations between time-varying exposures such as
        vaccines or other drugs or non drug exposures and an adverse
        event can be fitted. Detailed information on the
        self-controlled case series method and its extensions with more
        examples can be found in Farrington, P., Whitaker, H., and
        Ghebremichael-Weldeselassie, Y. (2018, ISBN: 978-1-4987-8159-6.
        Self-controlled Case Series studies: A modelling Guide with R.
        Boca Raton: Chapman & Hall/CRC Press) and
        <https://sccs-studies.info>.
License: GPL (>= 2)
Depends: R (>= 2.14.0)
Imports: survival, splines, corpcor, fda, R.methodsS3, gnm
LazyData: yes
Packaged: 2026-10-16 12:42:05 UTC; root
NeedsCompilation: no
Author: Yonas Ghebremichael Weldeselassie [aut, cre], Heather Whitaker
        [aut], Paddy Farrington [aut]
Maintainer: Yonas Ghebremichael Weldeselassie
 <yonas.weldeselassie@open.ac.uk>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-16 09:00:08 UTC
RemoteUrl: https://github.com/cran/SCCS
RemoteRef: HEAD
RemoteSha: a1b17069f62b053439926e7ff30777835c966f54