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: 2026-10-15 20:06:33 UTC; yw399
NeedsCompilation: no
Author: Yonas Ghebremichael Weldeselassie [aut, cre],
  Heather Whitaker [aut],
  Paddy Farrington [aut]
Maintainer: Yonas Ghebremichael Weldeselassie <yonas.weldeselassie@open.ac.uk>
Repository: CRAN
Date/Publication: 2026-10-16 09:00:08 UTC
