The definition of the "mean vector" is essentially what my question boils down to. In the functions details, the author states
"We sample x ~ T(mean, Sigma, df) subject to the rectangular truncation lower <= x <= upper. Currently, two random number generation methods are implemented: rejection sampling and the Gibbs Sampler." So if the mean vector in the "rtmvt" function is the mean of the parent distribution's mean (as I hope it is), then it would be acceptable to define a mean vector outside of the truncated range. Clarification of this point would be greatly appreciated. -- View this message in context: http://r.789695.n4.nabble.com/truncated-distributions-tp3422245p3422434.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
