nf"))
optimx(par=c(1,10), fn=prior, mean=0, var=1, alpha=0.05, method=c("Nelder",
"BFGS", "CG", "spg", "bobyqa", "Rvmmin", "nlminb", "Rcgmin", "ucminf"))
Hope this helps,
Ravi.
-Original M
David LeBauer illinois.edu> writes:
>
> Hi,
>
> I would like to write a function that finds parameters of a log-normal
> distribution with a 1-alpha CI of (x_lcl, x_ucl):
>
> However, I don't know how to optimize for the two unknown parameters.
>
Try optim instead.
___
Hi,
I would like to write a function that finds parameters of a log-normal
distribution with a 1-alpha CI of (x_lcl, x_ucl):
However, I don't know how to optimize for the two unknown parameters.
Here is my unsuccessful attempt to find a lognormal distribution with
a 90%CI of 1,20:
prior <- func
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