parfm: Parametric Frailty Models

Parametric Frailty Models, fitted by maximum marginal likelihood method. Possible baseline hazards: Weibull, inverse Weibull, exponential, Gompertz, lognormal and loglogistic Possible Frailty distributions: gamma, inverse Gaussian, positive stable and lognormal

Version: 2.5.6
Depends: survival, eha, msm, R (≥ 2.10)
Published: 2014-03-26
Author: Federico Rotolo and Marco Munda
Maintainer: Federico Rotolo <federico.rotolo at gustaveroussy.fr>
License: GPL-2
NeedsCompilation: no
Citation: parfm citation info
Materials: NEWS
In views: Survival
CRAN checks: parfm results

Downloads:

Reference manual: parfm.pdf
Package source: parfm_2.5.6.tar.gz
Windows binaries: r-devel: parfm_2.5.6.zip, r-release: parfm_2.5.6.zip, r-oldrel: parfm_2.5.6.zip
OS X Snow Leopard binaries: r-release: parfm_2.5.6.tgz, r-oldrel: parfm_2.5.6.tgz
OS X Mavericks binaries: r-release: parfm_2.5.6.tgz
Old sources: parfm archive