frailtyEM: 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.

Version: 1.0.1
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
Published: 2019-09-22
Author: Theodor Adrian Balan, Hein Putter
Maintainer: Theodor Adrian Balan <hello at tbalan.com>
BugReports: https://github.com/tbalan/frailtyEM/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tbalan/frailtyEM
NeedsCompilation: yes
Citation: frailtyEM citation info
Materials: NEWS
In views: Survival
CRAN checks: frailtyEM results

Downloads:

Reference manual: frailtyEM.pdf
Vignettes: Using frailtyEM for shared frailty models
Package source: frailtyEM_1.0.1.tar.gz
Windows binaries: r-devel: frailtyEM_1.0.1.zip, r-release: frailtyEM_1.0.1.zip, r-oldrel: frailtyEM_1.0.1.zip
macOS binaries: r-release: frailtyEM_1.0.1.tgz, r-oldrel: frailtyEM_1.0.1.tgz
Old sources: frailtyEM archive

Reverse dependencies:

Reverse suggests: dynfrail

Linking:

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