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

Density estimation for possibly large data sets and conditional/unconditional random number generation 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: 1.0.1
Imports: parallel, graphics, grDevices, stats
Published: 2018-01-23
Author: Daniel Meyer
Maintainer: Daniel Meyer <meyerda at>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: detpack results


Reference manual: detpack.pdf
Package source: detpack_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: detpack_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: detpack archive


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