dynfrail: Fitting Dynamic Frailty Models with the EM Algorithm

Fits semiparametric dynamic frailty models according to the methodology of Putter and van Houwelingen (2015) <doi:10.1093/biostatistics/kxv002>. Intermediate models, where the frailty is piecewise constant on prespecified intervals, are also supported. The frailty process is taken to have a specific auto-correlation structure, and the supported distributions include gamma, inverse Gaussian, power variance family (PVF) and positive stable.

Version: 0.5.2
Depends: R (≥ 3.3.0), survival
Imports: Rcpp (≥ 0.12.8), magrittr, tibble, dplyr, tidyr
LinkingTo: Rcpp, RcppArmadillo
Suggests: frailtyEM, knitr, parfm, ggplot2
Published: 2017-10-30
Author: Theodor Adrian Balan
Maintainer: Theodor Adrian Balan <t.a.balan at lumc.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
In views: Survival
CRAN checks: dynfrail results


Reference manual: dynfrail.pdf
Vignettes: Vignette Title
Package source: dynfrail_0.5.2.tar.gz
Windows binaries: r-devel: dynfrail_0.5.2.zip, r-devel-gcc8: dynfrail_0.5.2.zip, r-release: dynfrail_0.5.2.zip, r-oldrel: dynfrail_0.5.2.zip
OS X binaries: r-release: dynfrail_0.5.2.tgz, r-oldrel: dynfrail_0.5.2.tgz


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