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SCCS
View on CRAN: Click
here
Download and install SCCS package within the R console
Install from CRAN:
install.packages("SCCS")
Install from Github:
library("remotes")
install_github("cran/SCCS") Install by package version:
library("remotes")
install_version("SCCS", "1.7") Attach the package and use:
library("SCCS")
Maintained by
"Yonas Ghebremichael Weldeselassie"
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-11
Latest Update: 2024-04-01
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 .
How to cite:
"Yonas Ghebremichael Weldeselassie" (2018). SCCS: The Self-Controlled Case Series Method. R package version 1.7, https://cran.r-project.org/web/packages/SCCS. Accessed 18 Sep. 2026.
Previous versions and publish date:
Other packages that cited SCCS R package
View SCCS citation profile
Other R packages that SCCS depends,
imports, suggests or enhances
Complete documentation for SCCS
Functions, R codes and Examples using
the SCCS R package
Some associated functions: SCCS-package . addat . adidat . amdat . apdat . autdat . bpdat . bupdat . condat . dtpdat . eventdepenexp . eventdepenobs . febdat . formatdata . gbsdat . gidat . hibdat . hipdat . intdat . integrateIspline . itpdat . lrtsccs . midat . nonparasccs . nrtdat . opvdat . pmdat . quantsccs . rotdat . rsvdat . samplesize . semisccs . siddat . simulatesccsdata . smoothagesccs . smoothexposccs . standardsccs .
Some associated R codes: Yproduct.R . adrug_matrix.R . dmsplinedesign.R . dummyvar.R . eventdepenexp.R . eventdepenobs.R . formatdata.R . integrateIspline.R . ispline.R . ispline1.R . ispline2.R . ispline3.R . lrtsccs.R . max_expo.R . msplinedesign.R . nonparasccs.R . plot.nonparasccs.R . plot.smoothagesccs.R . plot.smoothexposccs.R . print.nonparasccs.R . print.smoothagesccs.R . print.smoothexposccs.R . print.summary.sccs.R . print.summary.smoothagesccs.R . print.summary.smoothexposccs.R . quantsccs.R . samplesize.R . semisccs.R . simulatesccsdata.R . smoothagesccs.R . smoothexposccs.R . standardsccs.R . summary.nonparasccs.R . summary.sccs.R . summary.smoothagesccs.R . summary.smoothexposccs.R . Full SCCS package functions and examples
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