The Epi package for epidemiological analysis with 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.
  • Changes in the different versions of the package 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 in the Epi package:
  • Follow-up data with the Epi package. R-code.
  • Competing risks with Lexis, parametric rates and simulation based confidence intervals. R-code. Teaching slides.
  • Simulation of multistate models with multiple timescales: simLexis in the Epi package (extended version). R-code.
  • Time dependent covariates in Lexis objects. R-code.
  • Years of Life Lost (YLL) to disease (extended version). R-code.
• Other useful texts illustrating facilities in the Epi package:
  • Who needs the Cox model anyway?. R-code.
  • The missing intensities in: "Analysis of time-to-event for observational studies:
    Guidance to the use of intensity models". R-code.
  • Multistate example from SiM paper by Crowther and Lambert. R-code.
  • Multistate models in Epi: The DLI example from JSS: the etm package by Allignol et al.. R-code.