parfm: Parametric Frailty Models

Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.

Version: 2.7.6
Depends: R (≥ 2.10), survival, optimx
Imports: msm, graphics, sn
Published: 2018-11-07
Author: Federico Rotolo [aut, cre], Marco Munda [aut], Andrea Callegaro [ctb]
Maintainer: Federico Rotolo <federico.rotolo at innate-pharma.fr>
License: GPL-2
NeedsCompilation: no
Citation: parfm citation info
Materials: README NEWS
In views: Survival, Survival
CRAN checks: parfm results

Downloads:

Reference manual: parfm.pdf
Vignettes: parfm
Package source: parfm_2.7.6.tar.gz
Windows binaries: r-devel: parfm_2.7.6.zip, r-release: parfm_2.7.6.zip, r-oldrel: parfm_2.7.6.zip
macOS binaries: r-release: parfm_2.7.6.tgz, r-oldrel: parfm_2.7.6.tgz
Old sources: parfm archive

Reverse dependencies:

Reverse imports: surrosurv
Reverse suggests: dynfrail

Linking:

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