Dear R users, I want to generating random samples from Inverse Gaussian distribution . How can I do? and what package should I install? Thanks. Shirin [[alternative HTML version deleted]]
On Jun 10, 2012, at 12:37 PM, shirin nezampour wrote:> Dear R users, > > I want to generating random samples from Inverse Gaussian > distribution . How can I do? and what package should I install?When you 4 hours earlier posted a misdirected message to the moderator mailbox, I suggested you use rseek.org to search for the answer to that question. I had earlier tested that suggestion and found it (unsurprisingly) to be very productive. Were there difficulties with that strategy? -- David Winsemius, MD West Hartford, CT
Hello, Try 'SuppDists' package. Best Regards? ps: it took less than 2 minutes for me by using a web search engine.. ----- Mail original ----- De?: shirin nezampour <shirin_nez at yahoo.com> ??: "r-help at r-project.org" <r-help at r-project.org> Cc?: Envoy? le : Lundi 11 juin 2012 1h37 Objet?: [R] generating random samples of IG distribution Dear R users, I want to generating random samples from Inverse Gaussian distribution . How can I do? and what package should I install? Thanks. Shirin ??? [[alternative HTML version deleted]] ______________________________________________ R-help at 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.
For the normal inverse Gaussian: Package 'GeneralizedHyperbolic' For the generalized inverse Gaussian: Package 'GeneralizedHyperbolic' ---------------------------------------------- David L Carlson Associate Professor of Anthropology Texas A&M University College Station, TX 77843-4352> -----Original Message----- > From: r-help-bounces at r-project.org [mailto:r-help-bounces at r- > project.org] On Behalf Of shirin nezampour > Sent: Sunday, June 10, 2012 11:37 AM > To: r-help at r-project.org > Subject: [R] generating random samples of IG distribution > > Dear R users, > > I want to generating random samples from Inverse Gaussian distribution > . How can I do? and what package should I install? > > Thanks. > Shirin > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.
Should have been For the normal inverse Gaussian: Package 'GeneralizedHyperbolic' For the generalized inverse Gaussian: Package 'HyperbolicDist' ---------------------------------------------- David L Carlson Associate Professor of Anthropology Texas A&M University College Station, TX 77843-4352> -----Original Message----- > From: David L Carlson [mailto:dcarlson at tamu.edu] > Sent: Monday, June 11, 2012 10:26 AM > To: 'shirin nezampour'; 'r-help at r-project.org' > Subject: RE: [R] generating random samples of IG distribution > > For the normal inverse Gaussian: Package 'GeneralizedHyperbolic' > For the generalized inverse Gaussian: Package 'GeneralizedHyperbolic' > > > ---------------------------------------------- > David L Carlson > Associate Professor of Anthropology > Texas A&M University > College Station, TX 77843-4352 > > > > -----Original Message----- > > From: r-help-bounces at r-project.org [mailto:r-help-bounces at r- > > project.org] On Behalf Of shirin nezampour > > Sent: Sunday, June 10, 2012 11:37 AM > > To: r-help at r-project.org > > Subject: [R] generating random samples of IG distribution > > > > Dear R users, > > > > I want to generating random samples from Inverse Gaussian > distribution > > . How can I do? and what package should I install? > > > > Thanks. > > Shirin > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at 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.