Package: SCCS
Type: Package
Title: The Self-Controlled Case Series Method
Version: 1.6
Date: 2022-07-04
Author: Yonas Ghebremichael Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: "Yonas Ghebremichael Weldeselassie" <yonas.weldeselassie@open.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, corpcor, fda, R.methodsS3, gnm
LazyData: yes
Packaged: 2022-07-04 22:50:06 UTC; u1673493
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-07-05 14:20:09 UTC

Authors@R: c(   person("Hannah","Chazin",role="aut",email = "h.chazin@columbia.edu"),
Maintainer: Kyung Serk Cho <kyslf1994@gmail.com>
Description: We introduce improved methods for statistically assessing birth seasonality and intra-annual variation. The first method we propose is a new idea that uses a nonparametric clustering procedure to group individuals with similar time series data and estimate birth seasonality based on the clusters. One can use the function SCEM() to implement this method. The second method estimates input parameters for use with a previously-developed parametric approach (Tornero et al., 2013). The relevant code for this approach is makeFits_OLS(), while makeFits_initial() is the code to implement the same method but with given initial conditions for two parameters. The latter can be used to show the disadvantage of the existing approach. One can use the function makeFits() to generate parametric birth seasonality estimates using either initialization. Detailed description can be found here: Chazin Hannah, Soudeep Deb, Joshua Falk, and Arun Srinivasan. (2019) "New Statistical Approaches to Intra-Individual Isotopic Analysis and Modeling Birth Seasonality in Studies of Herd Animals." <doi:10.1111/arcm.12432>.