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> or Meyer, D.W., Journal of Computational and Graphical Statistics (2018) <doi:10.1080/10618600.2018.1482768>.

Version:	1.1.3
Imports:	parallel, graphics, grDevices, stats
Published:	2019-07-24
Author:	Daniel Meyer
Maintainer:	Daniel Meyer <meyerda at ethz.ch>
License:	GPL-2
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	detpack results

Documentation:

Reference manual:

detpack.pdf

Downloads:

Package source:	detpack_1.1.3.tar.gz
Windows binaries:	r-devel: detpack_1.1.3.zip, r-release: detpack_1.1.3.zip, r-oldrel: detpack_1.1.3.zip
macOS binaries:	r-release (arm64): detpack_1.1.3.tgz, r-oldrel (arm64): detpack_1.1.3.tgz, r-release (x86_64): detpack_1.1.3.tgz, r-oldrel (x86_64): detpack_1.1.3.tgz
Old sources:	detpack archive

Linking:

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