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Last data update: 2014.03.03

R: Fits parametric models

lbfit.par

R Documentation

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.

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.

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))