lbfit.par: Fits parametric models

In lbiassurv: Length-biased correction to survival curve estimation.

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.

Details

See the master thesis of Pjerome student.

Value

The list returned by the optim function.

Note

Write why and when you get NaNs.

Author(s)

V.P. Nia and and P. J. Bergeron.

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))

lbiassurv documentation built on May 2, 2019, 9:35 a.m.