Message-ID: <1F045A1E-0311-4F16-9D54-F0B220E37499@comcast.net>
Date: 2011-04-02T20:36:19Z
From: David Winsemius
Subject: truncated distributions
In-Reply-To: <1301764520218-3422434.post@n4.nabble.com>
On Apr 2, 2011, at 1:15 PM, statfan wrote:
> 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),
Given the results of what I posted earlier ... how could it be
otherwise?
> 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.
--
David Winsemius, MD
West Hartford, CT