Epi package for epidemiological analysis in R

• The Epi package is mainly focused on "classical" chronic disease epidemiology.
• The package has grown out of the course Statistical Practice in Epidemiology using R.
  
• The Epi package is available from CRAN which can also be found through the R homepage.
  Alternatively, you can from a running R session on a computer on the net just type:
  > install.packages( "Epi" )
  
• The latest version of Epi on CRAN is here.
• Earlier, current and progress versions of the Epi package are available here.
• Any version newer than the CRAN version is subject to change without notice and may contain known or unanticipated errors.
• Package vignettes and other useful texts:
  • Follow-up data with the Epi package (slightly out of date).
  • Simulation of multistate models with multiple timescales: simLexis in the Epi package.
  • Multistate example from SiM paper by Crowther and Lambert.
    The corresponding R-code.
  • Multistate models in Epi: The DLI example from JSS: the etm package by Allignol et al..
    The corresponding R-code.
• A mailing list has been set up, click here to join.
• Introduction to R for Epidemiology:
  • A short introduction to R for Epidemiology.
  • A version for teaching a staff course at SDC is currently being updated here
• Epi is not the only R-package for epidemiological analysis, a package with more affinity to infectious disease epidemiology is the epitools package.