Hello,

I am searching for an example of R code to estimate parameter of a distribution using Nelder-Mead Algorithm, especially for one of the exponential distribution families, that is Tweedie Distribution. Do you have any idea for this one?

Thank you, have a nice day!

Would `optim`

work for you?

With this I think you would need to specify an initial parameter guess and a function that returns the negative (log) likelihood. Something like:

```
# Initial parameter guess
x0 <- 0.0
neg_log_like <- function(x) {
...
}
results <- optim(x0, neg_log_like, method = "Nelder-Mead")
# Print parameter estimate
print(results$par)
```

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Sorry for late replying.. Thank you so much for your help