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Dear members of the list, I'm a beginner in R and I'm having some trouble with: "Error in optim(init[mask], armafn, method = "BFGS", hessian = TRUE, control = optim.control, : non-finite finite-difference value [8]" when running "arima". I've seen that some people have come accross the same problem:

...nux/suse/ Additionally I put binaries for DEC Alpha systems running Digital Unix 4.0 under ftp://ftp.ci.tuwien.ac.at/pub/R/bin/osf/osf4.0/alpha/ These packages are available as rpms and as a setld kit. setld is the Digital Unix package maintanance tool, see setld(1), ask your admin or read the acompanying README files how to use it. Of course, if you want to use the rpms you first have to get "rpm" running on your DU system. It is (normally) available at ftp://ftp.uni-klu.ac.at/pub/uni-klu.ac.at/rpms/RPMS/osf4.0/ But currently this site is under reconstruction, so please check again...

Hello all, I''m having fun again with the arima function. This time I read in: http://www.stat.pitt.edu/stoffer/tsa2/R_time_series_quick_fix.htm <<It has recently been suggested (by a reliable source) that using xreg in arima() does NOT fit an ARMAX model [insert slap head icon here]. This will be investigated as soon as time permits.>> (by R.H. Shumway & D.S. Stoffer)

>If you ***look at the code*** for arima you will see that ``%+%'' is >defined >in terms of a call to ``.Call()'' which calls ``R_TSconv''. So >apparently >R_TSconv is a C or Fortran function or subroutine in a ``shared >object library'' >or dll upon which arima depends. Hence to do anything with it you'll >need to get >that shared

Dear Carlos and Kjetil, Thanks for your answer. >I do not think that is the way to go. If you believe that your algorithm >is better than the existing one, talk to the author of the package and >discuss the improvement. The whole community will benefit. I should be able to *easily* modify it and test it first! >Copy the existing function into a new file, edit it and load it via

Thanks a lot to everybody that helped me out with this. Conclusions: (1) In order to edit arima in R: >fix(arima) or alternatively: >arima<-edit(arima) (2) This is not contained in the "Introduction to R" manual. (3) A "productive" fix of arima is attached (arma coefficients printed out and error catched so that it doesn't halt parent loops to search for