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MEPDF  

Creation of Empirical Density Functions Based on Multivariate Data
View on CRAN: Click here


Download and install MEPDF package within the R console
Install from CRAN:
install.packages("MEPDF")

Install from Github:
library("remotes")
install_github("cran/MEPDF")

Install by package version:
library("remotes")
install_version("MEPDF", "3.0")



Attach the package and use:
library("MEPDF")
Maintained by
Martin Wiegand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-25
Latest Update: 2018-09-26
Description:
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) . 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.
How to cite:
Martin Wiegand (2017). MEPDF: Creation of Empirical Density Functions Based on Multivariate Data. R package version 3.0, https://cran.r-project.org/web/packages/MEPDF. Accessed 01 Sep. 2026.
Previous versions and publish date:
1.0 (2017-10-25 12:22), 2.0 (2018-07-31 15:20), 3.0 (2018-09-26 16:10), (2026-07-09 08:09)
Other packages that cited MEPDF R package
View MEPDF citation profile
Other R packages that MEPDF depends, imports, suggests or enhances
Complete documentation for MEPDF
Functions, R codes and Examples using the MEPDF R package
Some associated functions: cube . ekde . epakernel . epdf . normkernel . pseudokernel . 
Some associated R codes: EPDF.R .  Full MEPDF package functions and examples
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