I have an issue using mle in versions of 32 bits. I am writing a package which I want to submit to the CRAN. When doing the check, there is an example that has an error running in the 32 bits version.
The problem comes from the mle function, using it with a lower constrain. In 64 bits version it works fine but when I put it in the R 32 bits it fails. (same numbers, all equal!) The call is: *mle(minuslogl = p.est,start = beta,method = "L-BFGS-B",lower=llim*reduction)* lower = -0.01570427 The optimizer (optim function in 32 bits) display: -0.015704 -loglik 48.690236 -0.015704 -loglik 48.690236 -0.017704 -loglik 1.#QNAN0 And it is not respecting the lower constrain. Could anyone explain me why this? Maybe I am misunderstunding of lower parameter meaning. Is this because the 'lower' is for the estimate but not for the hessian calculations internally? In such a case, why in 64 bits is different from 32 bits? And how I could solve it? Thank you. The code is in: https://github.com/fbr600/rERR -- Francesc Badia Roca. tel. (+34) 639 210 685 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
