[R] Finding MLE
li li
hannah.hlx at gmail.com
Sun Nov 2 19:36:56 CET 2014
Hi all,
I am trying to use the mle function in R to find the maximum likelihood
estimator. The ll function below is the negative of the log likelihood.
Suppose x0 is the observed values, I want to find the maximum likelihood
for a and b. After running the code below, I get the error message "Error
in eval(expr, envir, enclos) : argument is missing, with no default".
Could anyone familiar with this function give some suggetion? Thanks very
much!
Hanna
> n <- 8
> x0 <- c(2,3)
>
> ll<- function(a,b,x=x0,size=n){
+
-sum(log(gamma((n-1)/2+a-1)/(gamma((n-1)/2)*gamma(a))*1/(2*b^a)*(x/2)^((n-1)/2-1)*(1/b+x/2)^(-((n-1)/2+a-1))))}
>
> fit <- mle(ll, nobs = length(x0))
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