If you can write a density function then you can (usually easily in R) write calculate a (log)likelihood that can be minimized by optim(). Of course, as always, the data and starting values must support the parameterization.
I don't know anything about the paper you reference, but as a general comment, methods that old were often devised to circumvent computational issues that may today be irrelevant. Method of moments calculations often fall into this class. Bert Gunter Genentech Nonclinical Statistics -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Marion Wittmann Sent: Monday, November 19, 2007 2:57 PM To: r-help@r-project.org Subject: [R] mulitmodal distributions Hello, I see that "mclust" is a pacakge that handles fitting mixtures of normals. Are there any other packages out that that can handle mixtures of gammas or other exponentials? Additionally, are there any packages out there that can fit bimodal distributions without mixtures? i.e., Cobb et al. 1983 using moment recursion relations? Thank you! mw Marion Wittmann, Ph.D. candidate Environmental Science & Management University of California Santa Barbara, CA 93106-5131 Lab: (805) 893 5890 Mobile: (805) 448 8259 Email: <mailto:[EMAIL PROTECTED]> [EMAIL PROTECTED] Web: <http://www.bren.ucsb.edu/~mwittmann> www.bren.ucsb.edu/~mwittmann [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.
