Computation and Visualization of Empirical Joint Distribution (Empirical Joint CDF)

Computes and visualizes empirical joint distribution of multivariate data with optimized algorithms and multi-thread computation. There is a faster algorithm using dynamic programming to compute the whole empirical joint distribution of a bivariate data. There are optimized algorithms for computing empirical joint CDF function values for other multivariate data. Visualization is focused on bivariate data. Levelplots and wireframes are included.


Reference manual

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0.1.2 by En-shuo Hsu, a year ago

Browse source code at

Authors: En-shuo Hsu , Jeffrey C. Miecznikowski

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, methods

Depends on lattice

Linking to Rcpp

System requirements: C++11

See at CRAN