I don't know that there is a single function, but you can perhaps apply a sequence of available functions -
For instance, you can use fitdistr() in library(MASS) to estimate optimal parameters for a candidate set of distributions; then look at each fit and also compare the deviance among the fits (possibly penalizing distributions which require more parameters - for instance, using the Akaike Information Criterion(?)). ----- Original Message ---- From: Gundala Viswanath <[EMAIL PROTECTED]> To: [EMAIL PROTECTED] Sent: Sunday, July 6, 2008 4:50:20 PM Subject: [R] Method for checking automatically which distribtions fits a data Hi, Suppose I have a vector of data. Is there a method in R to help us automatically suggest which distributions fits to that data (e.g. normal, gamma, multinomial etc) ? - Gundala Viswanath Jakarta - Indonesia ______________________________________________ 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.
