Fitting Frailty Models with the EM Algorithm

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.


Reference manual

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0.7.9 by Theodor Adrian Balan, a month ago

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Authors: Theodor Adrian Balan, Hein Putter

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, magrittr, msm, ggplot2, expint, tibble

Depends on survival

Suggests dplyr, statmod, plotly, gridExtra

Linking to Rcpp

Suggested by dynfrail.

See at CRAN