Hello, I am using survreg for a simulation where data is randomly generated from a Weibull distribution and the model parameters estimated. When this is embedded within a loop and the process repeated for different datasets, the program aborts after a few runs in most cases giving the following message:
Error in survreg.fit(X, Y, weights, offset, init = init, controlvals = control, : NA/NaN/Inf in foreign function call (arg 9) In addition: Warning message: no non-missing arguments to max; returning -Inf I'm having similar problems when using the lognormal distribution as well. Does anyone have any suggestions\thoughts on how to circumvent this issue? I've tried a few things with setting the seed for the random generation without success. Thanks, K [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list 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.