Message-ID: <1349900198210-4645772.post@n4.nabble.com>
Date: 2012-10-10T20:16:38Z
From: nserdar
Subject: "optim" and "nlminb"
#optim package
estimate<-optim(init.par,Linn,hessian=TRUE, method=c("L-BFGS-B"),control =
list(trace=1,abstol=0.001),lower=c(0,0,0,0,-Inf,-Inf,-Inf,-Inf,-Inf,-Inf,-Inf,-Inf,-Inf),upper=c(1,1,1,1,Inf,Inf,Inf,Inf,Inf,Inf,Inf,Inf,Inf))
#nlminb package
estimate<-nlminb(init.par,Linn,gr=NULL,hessian=TRUE,control =
list(trace=1,factr=1),lower=c(0,0,0,0,-Inf,-Inf,-Inf,-Inf,-Inf,-Inf,-Inf,-Inf,-Inf),upper=c(1,1,1,1,Inf,Inf,Inf,Inf,Inf,Inf,Inf,Inf,Inf))
I did not get same results from above equations. Log-likelihood values are
close but parameter estimation completely different.
My expectation is very close to "nlminb" packages.
Do you have any idea and suggestion between packages?
Regards,
Serdar
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