The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

MEPDF: Creation of Empirical Density Functions Based on Multivariate Data

Based on the input data an n-dimensional cube with sub cells of user specified side length is created. The number of sample points which fall in each sub cube is counted, and with the cell volume and overall sample size an empirical probability can be computed. A number of cubes of higher resolution can be superimposed. The basic method stems from J.L. Bentley in "Multidimensional Divide and Conquer". J. L. Bentley (1980) <doi:10.1145/358841.358850>. Furthermore a simple kernel density estimation method is made available, as well as an expansion of Bentleys method, which offers a kernel approach for the grid method.

Version: 3.0
Depends: R (≥ 3.0.1)
Imports: plyr, mvtnorm, pracma, stats, gtools
Published: 2018-09-26
DOI: 10.32614/CRAN.package.MEPDF
Author: Martin Wiegand, Saralees Nadarajah
Maintainer: Martin Wiegand <Martin.Wiegand at manchester.ac.uk>
License: GPL-2
NeedsCompilation: no
In views: Distributions
CRAN checks: MEPDF results

Documentation:

Reference manual: MEPDF.pdf

Downloads:

Package source: MEPDF_3.0.tar.gz
Windows binaries: r-devel: MEPDF_3.0.zip, r-release: MEPDF_3.0.zip, r-oldrel: MEPDF_3.0.zip
macOS binaries: r-release (arm64): MEPDF_3.0.tgz, r-oldrel (arm64): MEPDF_3.0.tgz, r-release (x86_64): MEPDF_3.0.tgz, r-oldrel (x86_64): MEPDF_3.0.tgz
Old sources: MEPDF archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.