On Mon, 18 Oct 2004, Göran Broström wrote:

On Mon, Oct 18, 2004 at 08:48:40AM -0700, Thomas Lumley wrote:
                          However, all the distributions in survreg are
location-scale families,

But only after a time transformation (usually the log transformation) in most cases (exponential, Weibull, lognormal, ...)

which the Gamma is not, so the basic algorithm
would have to be different.

which also holds for the Gamma; log(Gamma) is a location-scale family. So the basic algorithm should work after all? (Haven't tried it myself, though.)

I don't think the log(Gamma) is a location-scale family (though I may be missing something). For fixed shape parameter it is a location family, but not a scale family as the shape parameter varies:
a) In survreg() the extreme-value [log(Weibull)] distributions are the location-scale family that contain the log(Exponential).
b) The standardised skewness of log(Gamma) random variables varies with the shape parameter (by simulation), though not with the scale parameter.


        -thomas
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