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
DOI:	10.32614/CRAN.package.frailtyEM
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

Documentation:

Reference manual:	frailtyEM.pdf
Vignettes:	Using frailtyEM for shared frailty models

Downloads:

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 (arm64): frailtyEM_1.0.1.tgz, r-oldrel (arm64): frailtyEM_1.0.1.tgz, r-release (x86_64): frailtyEM_1.0.1.tgz, r-oldrel (x86_64): frailtyEM_1.0.1.tgz
Old sources:	frailtyEM archive

Reverse dependencies:

Reverse suggests:

rsurv

Linking:

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