Package: SCCS
Type: Package
Title: The Self-Controlled Case Series Method
Version: 1.5
Date: 2021-12-11
Author: Yonas Ghebremichael Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: "Yonas Ghebremichael-Weldeselassie" <y.weldeselassie@warwick.ac.uk>
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/index.html>.
License: GPL (>= 2)
Depends: R (>= 2.14.0)
Imports: survival, splines, dummies, corpcor, fda, R.methodsS3, gnm
LazyData: yes
Packaged: 2021-12-11 22:13:04 UTC; u1673493
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2021-12-11 23:00:03 UTC
Built: R 4.0.2; ; 2021-12-12 12:15:35 UTC; unix
