Re: [R] maximization under constraits

You wrote MAXIMIZE this function, why not using the maximize option of constrOptim? If you read the help file, you will find that if you set the control fnscale to a negative value, maximisation is performed. constrOptim(c(1,1),neg_loglik, grad=NULL, ui=rbind(c(1,0),c(0,1)),

[R] maximization under constraits

I'm an Italian student looking for help. How can I maximize this function? neg_loglik-function(param){ a-param[1] b -param[2] -(log(pr)-(a*s2)-(b*s)+n*log(2*a)-n*log(1-(b/sqrt(a))*exp((b^2)/(4*a))*(sqrt (pi))*(1-pnorm(b/(2*sqrt(a)), mean=0, sd=1))*1)) } Con pr

Re: [R] Maximization under constraits

Hi Daniela, Will the optim function with the method L-BFGS-B work for you? Look for the lower argument in the function. Ritwik On Fri, Jul 25, 2008 at 9:07 AM, Daniela Garavaglia [EMAIL PROTECTED] wrote: I'm looking for a R function which can maximise this logliklihood function, under the

[R] Maximization under constraits

I'm looking for a R function which can maximise this logliklihood function, under the constraits a0 e b0 f-function(param){ a-param[1] b -param[2] log(prod)-(a*s2)-(b*s)-n*log(1-((0.5*b/sqrt(a))*(exp((b^2)/(4*a)))*((sqrt(pi ))*(1-pnorm(-b/(2*sqrt(a)), mean=0, sd=1)} I've tried

Re: [R] Maximization under constraits

Daniela Garavaglia danygaravaglia84 at virgilio.it writes: I'm looking for a R function which can maximise this logliklihood function, under the constraits a0 e b0 f-function(param){ a-param[1] b -param[2]