[R-SIG-Mac] generate distributions
carl at witthoft.com
Fri Jun 13 22:54:22 CEST 2008
Well, let's be careful :-). True, there are numerical methods
(transforms and such ) for a limited set of distribution functions.
But, given huge amounts of computer time, the uniform distribution can
be mapped to any user-defined curve by using simple
weighting/clustering. No argument that this is a poor way to generate a
realistic set of data.
> Please ask such non-Mac-specific questions on R-help.
> For 'arbitrary', no. But there are lots of helpers, including
> Runuran, SuppDists and distrSim, which cover lots of univariate
> distribtutions. There are lots of multivariate ones implemented too,
> often in packages that make use of MCMC. But you cannot even define
> an arbitrary distribution in a unified way.
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