Hi, Steve!
Thanks for reply!
Acutally, that's what I thought too. But I believe some special control
terms are needed. Do you know how could I find some examples?
Thanks again.
Popo
2009/7/16 Steve Lianoglou
> Hi,
>
>
> On Jul 16, 2009, at 2:03 PM, popo UBC wrote:
>
Hi there!
S provide some functions, such as "qq.weibull", to produce various qqplot
for model checking. But I can't find the corresponding version in R. Does
any R package available to produce these qqplots?
Many thanks in advance!!
Cheers~~~
Popo
[[alternative HTML version del
Hello everyone!
When I use "nlminb" to minimize a function with a variable of almost 200,000
dimension, I got the following error.
> nlminb(start=start0, msLE2, control = list(x.tol = .001))
Error in vector("double", length) : vector size specified is too large
I had the following setting
option
spent too much time?
- Mainly, I need to calculate the MLE. But I really have no idea what the
likelihood may looks like. According to your experiences, would the
likelihood function be too complicated? Is L-BFGS-B good enough?
Thanks again!!
Popo
2009/5/14 cls59
>
>
> popo
Hi all!
The objective function I want to minimize contains about 10 to 20 variables,
maybe more in the future. I never solved such problems in R, so I had no
idea about the efficiency of R's optimization functions. I know doing loop
in R is quite slow, so I am not sure whether this shortage influe
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