From: Philip Turk (turk@gauss.math.montana.edu)
Date: Thu 24 Jan 2002 - 03:35:18 EST
Message-id: <Pine.GSO.4.33.0201211555001.16260-100000@gauss.math.montana.edu>
Does anyone have any R code or suggestions on how to generate a population
that follows a Neyman-Scott process? More specifically, I'd like to
randomly generate both the parents and the children from Poisson
distributions and the children locations from a bivariate normal onto an
N by N grid. If the locations spill over outside the grid, then I'd like
to reflect those locations back into the grid. Thanks for any advice.
Phil Turk
Department of ____________
Mathematical Sciences | | phone: (406)994-5362
2-226 Wilson Hall \ BZM, MT | FAX: (406)994-1789
Montana State University | *_______|
Bozeman, MT 59717 \_| e-mail: turk@math.montana.edu
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This archive was generated by hypermail 2.1.3 : Wed 16 Oct 2002 - 11:56:54 EST