[R] Discrete choice model maximum likelihood estimation

[Joshua Wiley]

On Tue, May 15, 2012 at 9:57 PM, Bert Gunter <gunter.berton at gene.com> wrote:
> Hmmm... So you want to fit a nonlinear model with 24 parameters??!!
>
> I would bet that you'll need to sacrifice some chickens to the
> nonlinear optimization gods to get something meaningful from that
> exercise.

Nominated for a fortune.

> :(
>
> -- Bert
>
> On Tue, May 15, 2012 at 5:26 PM, infinitehorizon
> <barisvardar at hotmail.com> wrote:
>> Hello John,
>>
>> Thanks for your response. Can you explain why it is better to use NM or nmk
>> instead of optim? By the way, my original model consists 24 parameters. In
>> this case is it still better to use NM or nmk?
>>
>> Best,
>>
>> Marc
[snip]


-- 
Joshua Wiley
Ph.D. Student, Health Psychology
Programmer Analyst II, Statistical Consulting Group
University of California, Los Angeles
https://joshuawiley.com/