[R] density estimation in two dimensions

[Mauricio O Calvao]

Hello,

I am a newbie to R and the subject of density estimation in two
dimensions or more.

I would like to have some advice concerning a comparison between the R
packages
for density estimation in bivariate or higher order problems; I mean
explicitly
the packages:

1) ash
2) KernSmooth
3) locfit
4) sm.

My specific problem now is having a set of numerical pairs (x_i, y_i),
arising from
a computer simulation, and wanting to define a continuous function to
play the
role of a probability density in the space of (x, y) variables...

If possible I would also like to have some words about the corresponding
books:

1) Scott, "Multivariate density estimation"
2) Wand and Jones, "Kernel smoothing"
3) Loader, "Local regression and likelihood"
4) Bowman and Azzalini, "Applied smoothing techniques"

Regards and congratulations for the excellent software R is and the GPL
philosophy behind it!!

--
###########################################################
MAURICIO ORTIZ CALVAO
Federal University of Rio de Janeiro
Institute of Physics, P. O. Box 68528
CEP 21945-970 Rio de Janeiro - RJ
BRAZIL

Home page: http://www.if.ufrj.br/~orca/
Email addresses: orca at if.ufrj.br (work)
                 orca at alternex.com.br (home)
Work phone: (21)562-7483
Work fax: (21)562-7368
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