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intercure (version 0.1.0)

Cure Rate Estimators for Interval Censored Data

Description

Implementations of semiparametric cure rate estimators for interval censored data in R. The algorithms are based on the promotion time and frailty models, all for interval censoring. For the frailty model, there is also a implementation contemplating clustered data.

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Install

install.packages('intercure')

Monthly Downloads

3

Version

0.1.0

License

GPL-2 | GPL-3

Issues

1

Pull Requests

0

Stars

0

Forks

0

Maintainer

Julio Brettas

Last Published

January 12th, 2016

Functions in intercure (0.1.0)

inter_frailty_cl

Cure rate frailty model for interval censored clustered data
inter_frailty

Fits cure rate frailty model for interval censored data
intercure

intercure: Cure rate regression models for interval censored data.
sim_frailty

Generates a interval censored dataset using frailty cure rate model
sim_bch

Generates a interval censored dataset using promotion time cure rate model
sim_frailty_cl

Generates a interval censored clustered dataset using frailty cure rate model
inter_bch

Fits promotion time cure rate model for interval censored data