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:	2.7.7
Depends:	R (≥ 2.10), survival, optimx
Imports:	msm, graphics, sn
Published:	2023-01-17
Author:	Federico Rotolo [aut, cre], Marco Munda [aut], Andrea Callegaro [ctb]
Maintainer:	Federico Rotolo <federico.rotolo at sanofi.com>
License:	GPL-2
NeedsCompilation:	no
Citation:	parfm citation info
Materials:	README NEWS
CRAN checks:	parfm results

Documentation:

Reference manual:

parfm.pdf

Downloads:

Package source:	parfm_2.7.7.tar.gz
Windows binaries:	r-devel: parfm_2.7.7.zip, r-release: parfm_2.7.7.zip, r-oldrel: parfm_2.7.7.zip
macOS binaries:	r-release (arm64): parfm_2.7.7.tgz, r-oldrel (arm64): parfm_2.7.7.tgz, r-release (x86_64): parfm_2.7.7.tgz, r-oldrel (x86_64): parfm_2.7.7.tgz
Old sources:	parfm archive

Linking:

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