On Tue, Mar 20, 2012 at 4:24 AM, Berend Hasselman wrote:
>
>
> On 20-03-2012, at 01:01, FU-WEN LIANG wrote:
>
> > Dear R-users,
> >
> > I use the "nleqslv" function to get parameter estimates by solving a
> > system
> > of non-linear e
Dear R-users,
I use the "nleqslv" function to get parameter estimates by solving a system
of non-linear equations. But I also need standard error for each of
estimates. I checked the nleqslv manual but it didn't mention about SE.
Is there any way to get the SE for each estimate?
Thank you very mu
hazard for T is 0.004. I'm wondering if it's possible to
get the estimated baseline hazard by the output from survreg.
Thank you very much.
On Tue, Mar 6, 2012 at 5:06 PM, David Winsemius wrote:
>
> On Mar 6, 2012, at 5:53 PM, FU-WEN LIANG wrote:
>
> Hi all,
>>
>&
Hi all,
I'm trying to generate a Weibull distribution including four covariates in
the model. Here is the code I used:
T = rweibull(200, shape=1.3,
scale=0.004*exp(-(-2.5*b1+2.5*b2+0.9*x1-1.3*x2)/1.3))
C = rweibull(n, shape=1.5, scale=0.008) #censoring time
time = pmin(T,C) #observed time is m
Hi all,
I'm trying to generate a Weibull distribution including four covariates in
the model. Here is the code I used:
# Generate survival time
T = rweibull(200, shape=1.3,
scale=0.004*exp(-(-2.5*b1+2.5*b2+0.9*x1-1.3*x2)/1.3))
C = rweibull(n, shape=1.5, scale=0.008) #censoring time
time = pmin
> HTH
> Rubén
>
> -----Mensaje original-
> De: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] En
> nombre de FU-WEN LIANG
> Enviado el: jueves, 09 de febrero de 2012 23:56
> Para: r-help@r-project.org
> Asunto: [R] Constraint on one of parameters.
&
Dear all,
I have a function to optimize for a set of parameters and want to set a
constraint on only one parameter. Here is my function. What I want to do is
estimate the parameters of a bivariate normal distribution where the
correlation has to be between -1 and 1. Would you please advise how to
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