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) . 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.


Reference manual

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3.0 by Martin Wiegand, 3 years ago

Browse source code at

Authors: Martin Wiegand , Saralees Nadarajah

Documentation:   PDF Manual  

Task views: Probability Distributions

GPL-2 license

Imports plyr, mvtnorm, pracma, stats, gtools

See at CRAN