frailtyEM: Fitting Frailty Models with the EM Algorithm (original) (raw)
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 |
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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 |
DOI: | 10.32614/CRAN.package.frailtyEM |
Author: | Theodor Adrian Balan, Hein Putter |
Maintainer: | Theodor Adrian Balan |
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 |
Documentation:
Downloads:
Reverse dependencies:
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