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Hi Dave, Bill, Thank you. That was it! <red face, heavy sigh> Best Regards, Steven On Mar 25, 2015, at 1:11 PM, David R Forrest <drf at vims.edu> wrote: > I'm away from a computer that can check...
On Oct 17, 2013, at 11:37 PM, David Winsemius <dwinsemius at comcast.net> wrote: > > On Oct 17, 2013, at 9:11 PM, Steven LeBlanc wrote: > >> Greets, >> >> I'm using nlminb() to estimate the parameters of a multivariate normal random...
Greets, I'm trying to iteratively find solutions to a problem given a range of options. Code is as follows: sim.app.wald<-function(B=0.1,min=10,max=50,alpha=0.05){ result<-c(fails=0,n=0...
On Oct 20, 2013, at 9:54 PM, Mark Leeds <markleeds2 at gmail.com> wrote: > Bill: I didn't look at the code but I think the OP means that during the nlminb algorithm, > the variance covariance parameters hit values...
Greets, I'm trying to use nlminb() to estimate the parameters of a bivariate normal sample and during one of the iterations it passes a parameter vector to the likelihood function resulting in an invalid covariance matrix that causes dmvnorm...
On Oct 18, 2013, at 1:12 AM, peter dalgaard <pdalgd at gmail.com> wrote: > > On Oct 18, 2013, at 08:37 , David Winsemius wrote: > >> >> On Oct 17, 2013, at 9:11 PM, Steven LeBlanc wrote: >> >>> Greets, >>> >>> I'm using...
Hi Dave, Thank you, but that didn't seem to do it. This code produces the same result: sim.app.wald<-function(B=0.1,min=10,max=50,alpha=0.05){ result<-c(fails=0,n=0) for(n...
Greets, I'm using nlminb() to estimate the parameters of a multivariate normal random sample with missing values and ran into an unexpected result from my call to dmvnorm() within the likelihood function. Particular details are provided below. It appears...
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