On Wed, 23 Apr 2008, threshold wrote:
> Hi, here comes my problem, say I have the following functions (example
> case) #------------------------------------------------------------
> function1 <- function (x, theta)
> {a <- theta[1] ( 1 - exp(-theta[2]) ) * theta[3] )
> b <- x * theta[1] / theta[3]^2
> return( list( a = a, b = b )) }
> #-----------------------------------------------------------
> function2<-function (x, theta)
> {P <- function1(x, theta)
> c <- P$a * x * exp(-theta[2])
> d <- P$b * exp(x)
> q <- theta[1] / theta[3]
> res <- c + d + q; res}
>
> # Function to be optimized
> function3 <- function(theta1,theta2,theta3) {
> n <- length(data)
> -sum( function2(x = data[2:n], theta = c(theta1, theta2, theta3) ))}
> # 'data' is my input ts class object
> #--------------------------------------------------------------------------
>------------
>
> Then I want to maximize function3 with respect to theta(s) (given some
> starting values)
>
> fit<-optim(par=c(theta1=1, theta2=1.2, theta3=.2), fn=function3)
>
> I get the following:
> Error in function1(x, theta) :
> argument "theta2" is missing, with no default
>
> Where I made a mistake? I will appreciate any help ...
>
> r
Your function to be optimised must be a function of a single parameter (which
may be a vector).
So you should have something like:
# Function to be optimized
function3 <- function(thetas) {
n <- length(data)
-sum( function2(x = data[2:n], theta = thetas))
}
[Not tested, your provided code has typos].
Ray
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