[R] multivariate simulation

[Agustin Lobo]

When you say that a distribution is normal, you can tell very
specific properties, but when you say thatis "not normal"
there is an infinite range of possibilities (just as when you
say that a function is non-linear...). You must investigate
your data and come up with some alternative distributions
that you can test as alternative hypothesis. Perhaps the
book Hilborn and Mangel 1997 The ecological detective, confronting
models with data (princeon Univ. Press) might be useful
for you.

Agus

Dr. Agustin Lobo
Instituto de Ciencias de la Tierra (CSIC)
Lluis Sole Sabaris s/n
08028 Barcelona SPAIN
tel 34 93409 5410
fax 34 93411 0012
alobo at ija.csic.es


On Wed, 23 Jan 2002, Bernard Colin wrote:

> To whom it may concern,
> 
> I try to simulate a non-normal multivariate distribution. The MASS package
> allows by mean of "mvrnorm" command to perform a multivariate normal
> simulation. Is there an equivalent command for an arbitrary multivariate
> distribution available in the R-language?
> 
> Thank you in advance.
> 
> Bernard Colin
> 
> 
> Colin Bernard
> Professeur titulaire
> Département de Mathématiques et d'Informatique
> Faculté des Sciences
> Université de Sherbrooke
> SHERBROOKE J1K-2R1 (Québec)
> Canada
> Tel : (819)821-8000 poste 2012
> Fax :(819)821-8200
> e-mail : bernard.colin at dmi.usherb.ca
> 
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