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)) [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.