detpack: Density Estimation and Random Number Generation with Distribution Element Trees

Density estimation for possibly large data sets and conditional/unconditional random number generation or bootstrapping with distribution element trees. The function 'det.construct' translates a dataset into a distribution element tree. To evaluate the probability density based on a previously computed tree at arbitrary query points, the function 'det.query' is available. The functions 'det1' and 'det2' provide density estimation and plotting for one- and two-dimensional datasets. Conditional/unconditional smooth bootstrapping from an available distribution element tree can be performed by 'det.rnd'. For more details on distribution element trees, see: Meyer, D.W. (2016) <arXiv:1610.00345> or Meyer, D.W., Statistics and Computing (2017) <doi:10.1007/s11222-017-9751-9> and Meyer, D.W. (2017) <arXiv:1711.04632>.

Version: 1.1.1
Imports: parallel, graphics, grDevices, stats
Published: 2018-04-26
Author: Daniel Meyer
Maintainer: Daniel Meyer <meyerda at ethz.ch>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: detpack results

Downloads:

Reference manual: detpack.pdf
Package source: detpack_1.1.1.tar.gz
Windows binaries: r-devel: detpack_1.1.1.zip, r-release: detpack_1.1.1.zip, r-oldrel: detpack_1.1.1.zip
OS X binaries: r-release: detpack_1.1.1.tgz, r-oldrel: detpack_1.1.0.tgz
Old sources: detpack archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=detpack to link to this page.