On 07/02/12 03:24, djbanana wrote:
I am trying to use the optim command to get the MLEs for a number of
parameters based on some data. Is it possible to write a program that
maximizes the likelihood and stores the parameters (many times)?
Of course it's possible. This is R.
I need to
do this a lot of times, each time the data will be updated with more entries
(rows). I need to see how the new data is affecting the previous parameter
estimates of the model. What is the best way to do it?
(1) Preallocate a list to hold the results.
(2) Use a for loop.
(3) Remember to use *double* brackets (``[[ ]]'') when assigning
a value to the i-th entry of your pre-defined list.
(4) For efficiency it is probably best to use the estimates returned
at step i as the starting values for step i+1.
cheers,
Rolf Turner
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
