On Sun, Nov 2, 2008 at 11:22 AM, Christian Ritz [EMAIL PROTECTED] wrote:
Hi Göran,
the R package NADA is specifically designed for left-censored data:
http://www.statistik.uni-dortmund.de/useR-2008/slides/Helsel+Lee.pdf
The function cenreg() in NADA is a front end to survreg().
Nice; but
Hi Göran,
the R package NADA is specifically designed for left-censored data:
http://www.statistik.uni-dortmund.de/useR-2008/slides/Helsel+Lee.pdf
The function cenreg() in NADA is a front end to survreg().
Christian
Göran Broström wrote:
On Fri, Oct 31, 2008 at 2:27 PM, Terry Therneau
Brostram wrote
The survreg function cannot fit left-censored data (correct me if I am wrong).
in response to my suggestion to use that routine.
You are wrong. Try reading the help file for survreg, or the references given
there.
The survreg function does not fit left-truncated data, however.
On Sun, Nov 2, 2008 at 3:57 PM, Therneau, Terry M., Ph.D.
[EMAIL PROTECTED] wrote:
Brostram wrote
The survreg function cannot fit left-censored data (correct me if I am
wrong).
in response to my suggestion to use that routine.
You are wrong. Try reading the help file for survreg, or the
On Fri, Oct 31, 2008 at 2:27 PM, Terry Therneau [EMAIL PROTECTED] wrote:
Use the survreg function.
The survreg function cannot fit left censored data (correct me if I am
wrong!), neither can phreg or aftreg (package eha). On the other hand,
if Borja instead wanted to fit left truncated data (it
Use the survreg function.
There are many different ways to parameterize a Weibull. The survreg function
imbeds it a general location-scale familiy, which is a different
parameterization than the rweibull function.
y - rweibull(1000, shape=2, scale=5)
survreg(Surv(y)~1, dist=weibull)
Dear R-users
I have some datasets, all left-censoring, and I would like to fit
distributions to (weibull,exponential, etc..). I read one solution using the
function survreg in the survival package. i.e
survreg(Surv(...)~1, dist=weibull) but it returns only the scale
parameter.
Does anyone know
Dear Barja
Have you looked at gamlss y gamlss.dist libaries?
There some functions called WEI, WEI2, and WEI3
Cheers,
Fer
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