Fitting Frailty Models with the EM Algorithm R package frailtyEM version 1.0.1 CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival) Contains functions for fitting shared frailty models with a semi-parametric baseline hazard with the Expectation-Maximization algorithm. Supported data formats include clustered failures with left truncation and recurrent events in gap-time or Andersen-Gill format. Several frailty distributions, such as the the gamma, positive stable and the Power Variance Family are supported. Software Depends: R (>= 3.3.0), survival Imports: Rcpp (>= 0.12.8), magrittr, msm, ggplot2, expint, tibble, Matrix, numDeriv LinkingTo: Rcpp Suggests: dplyr, plotly, gridExtra, egg Theodor Adrian Balan <hello@tbalan.com> Comprehensive R Archive Network (CRAN) Theodor Adrian Balan, Hein Putter GPL (>= 2) 2019-09-22 application/tgz https://CRAN.R-project.org/package=frailtyEM doi:10.32614/CRAN.package.frailtyEM