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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("Emcdf")

0.1.2 by En-shuo Hsu, a year ago


Browse source code at https://github.com/cran/Emcdf


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