From: Philippe Lambert <phlamber@luc.ac.be> Message-Id: <9611151224.AA00083@alpha.luc.ac.be> Subject: R-alpha: NA in nlm To: r-testers@stat.math.ethz.ch Date: Fri, 15 Nov 1996 13:24:44 +0100 (MET) I would like to confirm the remark made recently by Jim Lindsey on nlm. I am currently working on the implementation of a glm like routine for non-symmetric stable distributions. I have to use the nlm routine to compute MLEs. I have been fighting with this for a few days because I was not able to obtain a deviance as small as what PROC OPTMUM on GAUSS was able to provide. I first thought that this was caused by unappropriate initial conditions. But it finally turned out that it was caused by ("invisible") NA's (probably in lnsrch()). What I do now is just testing for NA in my R deviance function, but I guess this slows down the whole process. Therefore I find the idea of Jim to test for NA WITHIN the (C-code) quite appealing. Note also that PROC OPTUM in GAUSS is extremely efficient and might suggest some improvement to nlm. Unfortunately, I am not a C user. Finally, just a word to mention that I get an error message like macros s missing when I try to format the help (I work with Linux 1.2.13, ELF). Any experience with this? Philippe Lambert phlamber@luc.ac.be =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- r-testers mailing list -- To (un)subscribe, send subscribe or unsubscribe (in the "body", not the subject !) To: r-testers-request@stat.math.ethz.ch =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-