Emcdf: 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.

Version: 0.1.2
Depends: R (≥ 3.2.5), lattice
Imports: Rcpp (≥ 0.12.8), methods
LinkingTo: Rcpp
Published: 2018-01-13
Author: En-shuo Hsu, Jeffrey C. Miecznikowski
Maintainer: En-shuo Hsu <daviden1013 at gmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: Emcdf results


Reference manual: Emcdf.pdf
Package source: Emcdf_0.1.2.tar.gz
Windows binaries: r-devel: Emcdf_0.1.2.zip, r-release: Emcdf_0.1.2.zip, r-oldrel: Emcdf_0.1.2.zip
OS X binaries: r-release: Emcdf_0.1.2.tgz, r-oldrel: Emcdf_0.1.2.tgz
Old sources: Emcdf archive


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