Displaying 5 results from an estimated 5 matches for "devroye".
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detroye
2005 Jul 01
5
Generating correlated data from uniform distribution
Dear R users,
I want to generate two random variables (X1, X2) from uniform
distribution (-0.5, 0.5) with a specified correlation coefficient r.
Does anyone know how to do it in R?
Many thanks!
Menghui
2007 Jun 28
0
new package benchden 1.0.0 : benchmark densities for nonparametric density estimation
The new package "benchden" 1.0.0 implements 28 benchmark densities for
nonparametric density estimation that were introduced by A. Berlinet and
L. Devroye ("A Comparison of Kernel Density Estimates", Pub. Inst. Stat.
Univ. Paris, XXXVIII, fasc. 3, 1994, 3-59,
http://cg.scs.carleton.ca/~luc/devs.html ). This collection includes a
variety of densities with different degrees of smoothness, different
tail behaviour, different number of modes, w...
2007 Jun 28
0
new package benchden 1.0.0 : benchmark densities for nonparametric density estimation
The new package "benchden" 1.0.0 implements 28 benchmark densities for
nonparametric density estimation that were introduced by A. Berlinet and
L. Devroye ("A Comparison of Kernel Density Estimates", Pub. Inst. Stat.
Univ. Paris, XXXVIII, fasc. 3, 1994, 3-59,
http://cg.scs.carleton.ca/~luc/devs.html ). This collection includes a
variety of densities with different degrees of smoothness, different
tail behaviour, different number of modes, w...
2007 Jul 10
2
integration over a simplex
Hello
The excellent adapt package integrates over multi-dimensional
hypercubes.
I want to integrate over a multidimensional simplex. Has anyone
implemented such a thing in R?
I can transform an n-simplex to a hyperrectangle
but the Jacobian is a rapidly-varying (and very lopsided)
function and this is making adapt() slow.
[
A \dfn{simplex} is an n-dimensional analogue of a triangle or
2002 Aug 08
0
RE: rmultinom
Hi Mark:
I had also used sample and tabulate for generating multinomial and found it
to be quite slow. So I had written a multinomial random numbers generator
based on the GENMUL subroutine from "ranlib", which in turn is based on the
algorithm from Luc Devroye's book on "Non-Uniform Random Variate Generation"
You may want to compare this with your hybrid algorithm and see their
relative performance.
Best,
Ravi.
###############################################################
## A multinomial random vector generator
rmultinom <- fun...