csn: Closed Skew-Normal Distribution

Provides functions for computing the density and the log-likelihood function of closed-skew normal variates, and for generating random vectors sampled from this distribution. See Gonzalez-Farias, G., Dominguez-Molina, J., and Gupta, A. (2004). The closed skew normal distribution, Skew-elliptical distributions and their applications: a journey beyond normality, Chapman and Hall/CRC, Boca Raton, FL, pp. 25-42.

Version: 1.1.3
Depends: R (≥ 2.2.0)
Imports: mvtnorm
Published: 2015-05-10
Author: Dmitry Pavlyuk, Eugene Girtcius
Maintainer: Dmitry Pavlyuk <Dmitry.V.Pavlyuk at gmail.com>
License: GPL-2
NeedsCompilation: no
In views: Distributions
CRAN checks: csn results


Reference manual: csn.pdf
Package source: csn_1.1.3.tar.gz
Windows binaries: r-devel: csn_1.1.3.zip, r-release: csn_1.1.3.zip, r-oldrel: csn_1.1.3.zip
OS X El Capitan binaries: r-release: csn_1.1.3.tgz
OS X Mavericks binaries: r-oldrel: csn_1.1.3.tgz
Old sources: csn archive


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