The scale of log-likelihood depends on the number of your data samples,
you should sum over the log-densities from individual points:
sum(llgm)
Xiaohui
Edward Wijaya ??:> Dear all,
>
> How can I compute the log likelihood of a gamma
> distributions of a vector.
>
> I tried the following. But it doesn't seem to work:
>
> samples<-c(6.1, 2.2, 14.9, 9.9, 24.6, 13.2)
> llgm <- dgamma(samples, scale=1, shape=2, log = TRUE)
>
> It gives
>
> [1] -4.291711 -1.411543 -12.198639 -7.607465 -21.397254 -10.619783
>
> I expect it only returns "one" value instead of vector.
> What's wrong with my command above?
>
> - Edward
>
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