lbiassurv (version 1.1)

lbfit.par: Fits parametric models

Description

Will be combined with nonpar version soon.

Usage

lbfit.par(time, censor, family, initial = list(shape, rate, meanlog, sdlog))

Arguments

time

The observed time as a vector.

censor

The survival indicator, 1 if censored, 0 otherwise.

family

A string indicating the parametric family to fit. Options are weibull, gamma, exponential, lognormal , and loglogistic.

initial

A list of initial parameters for optimization, meanlog, and sdlog for lognormal and the shape and rate for the rest.

Value

The list returned by the optim function.

Details

See the master thesis of Pjerome student.

References

The thesis or an article here.

See Also

lbfit.nonpar,lbsample.

Examples

mydata=lbsample(500,family="exponential",par=list(rate=1))
lbfit.par(time=mydata$time,censor=mydata$censor,family="exponential",initial=list(shape=3,rate=3))