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.

Total

20,072

Last month

492

Last week

164

Average per day

16

Daily downloads

Total downloads

Description file content

Package
parfm
Type
Package
Title
Parametric Frailty Models
Version
2.7.6
Date
2018-11-06
Description
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.
License
GPL-2
LazyLoad
yes
Depends
R (>= 2.10), survival, optimx
Imports
msm, graphics, sn
Encoding
UTF-8
NeedsCompilation
no
Packaged
2018-11-06 21:16:08 UTC; F_ROTOLO
Author
Federico Rotolo [aut, cre], Marco Munda [aut], Andrea Callegaro [ctb]
Maintainer
Federico Rotolo
Repository
CRAN
Date/Publication
2018-11-07 00:10:07 UTC

install.packages('parfm')

2.7.6

10 days ago

Federico Rotolo

GPL-2

Depends on

R (>= 2.10), survival, optimx

Imports

msm, graphics, sn

Discussions