CODEWITHSUNDEEP
rmathematical-optimizationinference
user2983722
user2983722

Reputation: 215

R : Computing maximum likelihood estimator

I want to compute maximum likelihood estimator of mean,mu, of normal distribution with variance=36.

But the following procedure showing error:

set.seed(36)

x <- rnorm(50,mean=20,sd=6)

loglikelikelihood<- function(mu,x){
 L = (-50)*log(sqrt(2*pi)*6)-((1/72)*(sum(x^2)-2*mu*sum(x)+50*mu^2))
 }

optimize(f=loglik,X=x,interval=c(0,100),maximum=T)

Upvotes: 0

Views: 316

Answers (1)

Jilber Urbina
Jilber Urbina

Reputation: 61154

you misspelled two arguments. Try writing loglikelihood instead of loglik and x instead of X, it'll work.

> optimize(f=loglikelihood,x=x,interval=c(0,100),maximum=T)
$maximum
[1] 20.86679

$objective
[1] -157.6814

Upvotes: 6

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