[R] Generic distributions

Matthias Kohl Matthias.Kohl at stamats.de
Wed Mar 7 07:06:03 CET 2007


Hello Alberto, hello Greg,

in distr you can do:

library(distr)
N <- Norm(mean = 1, sd = 2)
p(N)(0.5)
r(N)(100)

!!! not: p(N, 0.5) or r(N, 100) !!!
A detailed description of package "distr" is given in package "distrDoc".

library(distrDoc)
vignette("distr")

hth
Matthias



----- original message --------

Subject: Re: [R] Generic distributions
Sent: Tue, 06 Mar 2007
From: Greg Snow<Greg.Snow at intermountainmail.org>

> I think the distr package does this.  There are also packages that link
> to winbugs if that is what you really want to do.
> 
> -- 
> Gregory (Greg) L. Snow Ph.D.
> Statistical Data Center
> Intermountain Healthcare
> greg.snow at intermountainmail.org
> (801) 408-8111
>  
>  
> 
> > -----Original Message-----
> > From: r-help-bounces at stat.math.ethz.ch 
> > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of 
> > Alberto Monteiro
> > Sent: Tuesday, March 06, 2007 1:38 PM
> > To: r-help at stat.math.ethz.ch
> > Subject: [R] Generic distributions
> > 
> > Is there any class that generalizes distributions?
> > 
> > For example, I could say
> > x <- generic_distribution("normal", list(mean=1, sigma=0.5)) 
> > and then use it like rgeneric_distribution(100, x) to get a 
> > sample of 100, or pgeneric_distribution(0.5, x) to get the 
> > pdf at (x = 0.5).
> > 
> > In the openbugs/winbugs package, that uses a language that 
> > looks like R/S, we can do things like x ~ dnorm(mu, tau), 
> > forget that x is a normal with mean mu and variance 1/tau, 
> > and then treat it generically.
> > 
> > Alberto Monteiro
> > 
> > PS: this is noise... but due to spam invasion, anything that 
> > increases the nonspam/spam ratio should be welcome :-)
> > 
> > ______________________________________________
> > R-help at stat.math.ethz.ch 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.
> >
> 
> ______________________________________________
> R-help at stat.math.ethz.ch 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.
> 

--- original message end ----



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