subrank: Computes Copula using Ranks and Subsampling

Estimation of copula using ranks and subsampling. The main feature of this method is that simulation studies show a low sensitivity to dimension, on realistic cases. Vignette provides some theoretical documentation.

Version: 0.9.9
Published: 2017-10-24
Author: Jerome Collet
Maintainer: Jerome Collet <jeromepcollet at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: subrank results

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Reference manual: subrank.pdf
Package source: subrank_0.9.9.tar.gz
Windows binaries: r-devel: subrank_0.9.9.zip, r-release: subrank_0.9.9.zip, r-oldrel: subrank_0.9.9.zip
OS X El Capitan binaries: r-release: subrank_0.9.9.tgz
OS X Mavericks binaries: r-oldrel: subrank_0.9.9.tgz
Old sources: subrank archive

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