Dear R users, I'm trying to fit stable distribution and hyperbolic distribution to my data using stableFit(), and hypFit() of fBasics. However, there are some problems
This is the result ====================================== > stableFit(lm, alpha = 1, beta = 0, gamma = 1, delta = 0, doplot = TRUE, trace > = FALSE, title = NULL, description = NULL) Title: Stable Parameter Estimation Call: .qStableFit(x = x, doplot = doplot, title = title, description = description) Model: Student-t Distribution Estimated Parameter(s): alpha beta gamma delta NA NA NA NA ====================================== first, this is stable distribution, but in "Model", it's always Student-t Distribution. Second, everytime I run stableFit(), the result of Estimated Parameter(s) is NA. I can't really find what's wrong in my code. In the case of hyperbolic distribution, this is the result ====================================== Model: Hyperbolic Distribution Estimated Parameter(s): alpha beta delta mu 63.201132 1.991194 11.165716 2.921906 There were 41 warnings (use warnings() to see them) Warning messages: 1: NA/Inf replaced by maximum positive value 2: NA/Inf replaced by maximum positive value ........................................... ====================================== First, I don't what the warning messages mean and why they appeared. Many thanks in advance Junhee [[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.