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frailtypack (version 2.0-2)

Frailty models using maximum penalized likelihood estimation

Description

Fit a shared gamma frailty model and Cox proportional hazards model using a Penalized Likelihood on the hazard function. Left truncated, censored data and strata (max=2) are allowed. Clustered and recurrent survival times can be studied (the Andersen-Gill (1982) approach has been implemented for recurrent events). An automatic choice of the smoothing parameter is possible using an approximated cross-validation procedure.

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Version

Install

install.packages('frailtypack')

Monthly Downloads

2,571

Version

2.0-2

License

GPL version 2 or newer

Maintainer

Juan Gonzalez

Last Published

November 23rd, 2025

Functions in frailtypack (2.0-2)

summary.frailtyPenal

summary of 'frailtyPenal'
frailtyPenal

Fit Shared Gamma Frailty model using penalized likelihood estimation
plot.frailtyPenal

Plot Method for an object of class `frailtyPenal'.
print.frailtyPenal

Print a Short Summary of parameter estimates of a shared gamma frailty model
readmission

Rehospitalization colorectal cancer