That was great! I tried as what you said, not as many warnings as before,
and it seems that it converges.
Thank you Berend. and thank you all!
Carol
On Sat, May 8, 2010 at 5:00 PM, Berend Hasselman wrote:
>
>
> Carol Gao wrote:
> >
> > I have generated some random variable from generalised gam
Carol Gao wrote:
>
> I have generated some random variable from generalised gamma distribution,
> and now I need to use them to test on my optim function. Please see below:
>
> *##Need to install package VGAM first before calling rggamma function
> library(VGAM)
> x <- rggamma(500,scale=gamma(1
Hi Ravi,
I have generated some random variable from generalised gamma distribution,
and now I need to use them to test on my optim function. Please see below:
*##Need to install package VGAM first before calling rggamma function
library(VGAM)
x <- rggamma(500,scale=gamma(1.5)/gamma(3.5),d=0.5,k=1
It probably means that your parameters are taking on values that are
infeasible. You may have to impose constraints on your parameters to get a
solution (e.g. bounds constraints). If you need better help, you have to
send us a minimal, self-contained, reproducible example.
Ravi.
-Original Me
just check whether some values in the parameter space forcing the log()
function to apply logarithm on negative values !!!
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