I have been using Gauss for doing maximum likelihood estimation of
somewhat complex models, and I am possibly interested in moving over to
R. Does anyone have experience doing both? My main concern is that my
models are very slow to estimate in Gauss; wondering if R is likely to
be faster or slower.
Any feedback would be much appreciated!
Thank you,
Oleg Urminsky
[EMAIL PROTECTED]
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