[R] Log likelihood of Gamma distributions

Edward Wijaya ewijaya at gmail.com
Wed May 21 03:54:07 CEST 2008


Dear Xiaohui,

Thanks.

> The scale of log-likelihood depends on the number of your data samples
Can you explain what do you mean by this?

For example if I have 10 data points. Should I use "scale=10" ?
And how about "shape" parameters. What's the rule to choose its value?

Hope to hear from you again.

Regards,
Edward



>
> Edward Wijaya 写道:
>>
>> 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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>>
>>
>
>



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