Displaying 5 results from an estimated 5 matches for "maximze".
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maximize
2003 Apr 20
1
survreg penalized likelihood?
What objective function is maximized by survreg with the default
Weibull model? I'm getting finite parameters in a case that has the
likelihood maximzed at Infinite, so it can't be a simple maximum
likelihood.
Consider the following:
#############################
> set.seed(3)
> Stress <- rep(1:3, each=3)
> ch.life <- exp(9-3*Stress)
> simLife <- rexp(9, rate=1/ch.life)
> Data <- data.frame(Stress=factor(Stres...
2004 Oct 06
0
quadratically constrained quadratic programming
Hi,
Does anybody have experience to solve an quadratic programming problem
with quadratic constraints in R?
It seems that the package "quadprog" only handles the quadratic
programming with linear constraint. My probelm is to maximze
x^T\Sigma_{xy} y,
subject to x^Tx=1, y^T\Sigma_{yy} y=1, and sum(y)<t, or sum(y)=t, where
x and y are the variable, and the Sigma's and t are know.
Can R slove this problem, or do you know any other Fortran or C
subroutine I can load into R to solve this problem?
Thanks in advance,
Jian...
2006 May 13
0
RE: snmp and asterisk
...>
>
>
> >
> > -----Original Message-----
> > From: gaillacharry@yahoo.fr
> [mailto:gaillacharry@yahoo.fr]
> > Sent: Friday, May 12, 2006 3:42 AM
> > To: info@sangoma.com
> > Subject: ***SANGOMA INFORMATION REQUEST***
> >
> > CSV for Maximzer:
> > -----------------
> > e-citel harry +33 493 450 084 cannes
> > france
> > gaillacharry@yahoo.fr How sangoma support snmp
> with asterisk
> > pbx ? Info
> > request from web
> > -----------------
> > harry has requested information...
2003 Jun 14
0
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2010 Sep 04
3
How can I fixe convergence=1 in optim
Hi R users,
I am using the optim funciton to maximize a log likelihood function. My
code is as follows:
p<-optim(c(-0.2392925,0.4653128,-0.8332286, 0.0657, -0.0031, -0.00245,
3.366, 0.5885, -0.00008,
0.0786,-0.00292,-0.00081, 3.266, -0.3632, -0.000049, 0.1856,
0.00394, -0.00193, -0.889, 0.5379, -0.000063,
0.213, 0.00338, -0.00026, -0.8912, -0.3023, -0.000056), f,