[Gretl-users] Simulated maximum likelihood using Halton numbers

I have a sample of size n=1789. I need to run simulated maximum likelihood on it, generating series of pairs of independent (w,u) per observation to compute the value of the likelihood as an simuluated average. Instead of using the RNG of gretl, I was thinking of using Halton numbers, in sequences of length, say, 100. It would appear that this requires to construct (once), 1789 (x) 2 = 3578 sequences of Halton numbers of length 100. Given my current understanding of the "halton" function in gretl, It appears that I can only construct 40 distinct sequences maximum. Naively, one could think "then, construct 40 sequences each of length 9000" and then chop them in pieces of length 100 to get the number of required distinct sequences (or generate 1 sequence with length 357800 for that matter)... but how would one preserve the "well-balanced spacing" in (0,1) that is the advantage of Halton numbers? (again this "idea" is just to make small talk -it may be totally silly). Is there any way to generate what I need inside gretl? -- Alecos Papadopoulos PhD Affiliate Researcher Dpt of Economics, Athens University of Economics and Business Foundation for Economic and Industrial Research (IOBE) web: alecospapadopoulos.wordpress.com/ ORCID:0000-0003-2441-4550