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

Documentation:

Reference manual:

csn.pdf

Downloads:

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
macOS binaries:	r-release (arm64): csn_1.1.3.tgz, r-oldrel (arm64): csn_1.1.3.tgz, r-release (x86_64): csn_1.1.3.tgz, r-oldrel (x86_64): csn_1.1.3.tgz
Old sources:	csn archive

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