SN(sn)
SN()所属R语言包：sn
Package ‘sn’: summary information
包装SN：概要信息
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This package provides functions related to the skew-normal (SN) and the skew-t (ST) probability distributions, both for the univariate and for the the multivariate case, including regression models.
这个包提供的功能相关的歪斜正常（SN）和歪斜-T（ST）的概率分布，无论是单因素和多因素的情况下，包括回归模型。
功能----------Functions----------
The package includes several functions, a number of which are intended as services to other functions, not really to be called directly by the users. The following ones are those more relevant for practical use.
该软件包包括了几个功能，其中一些功能的目的不是真的要由用户直接调用等功能，服务。下面的是那些更有关的实际使用。
SN distribution: dsn, psn, qsn, rsn, cp.to.dp, dp.to.cp, sn.mle, sn.em, for the univariate case, and dmsn, pmsn, rmsn, msn.fit, msn.mle, dsn2.plot for the multivariate case.
SN分布：dsn，psn，qsn，rsn，cp.to.dp，dp.to.cp，sn.mle，sn.em ，单变量的情况下，和dmsn，pmsn，rmsn，msn.fit，msn.mle，dsn2.plot的多变量的情况下。
ST distribution: dst, pst, rst, st.mle, for the univariate case, and dmst,pmst, rmst, mst.fit, mst.mle, dst2.plot for the multivariate case.
ST分配：dst，pst，rst，st.mle，为单变量的情况下，和dmst，pmst，rmst ，mst.fit，mst.mle，dst2.plot的多变量的情况下。
It is suggested that a user starts by reading the documentation of (some of) these functions.
建议用户开始通过阅读文档的（一些），这些功能。
需求----------Requirements----------
R 2.2.0. A few functions make use of package mnormt: psn, pmsn, pmst.
ŕ2.2.0。有一些函数使用包mnormt：psn，pmsn，pmst。
版本----------Version----------
The version level of the package is given by the command print(.sn.version). The most recent version of the package can be obtained from the WWW page: http://azzalini.stat.unipd.it/SN which also contains other related material
包的版本级别的命令print(.sn.version)。最新版本的软件包，可从WWW页面：http://azzalini.stat.unipd.it/SN其中还包含其他相关材料
作者----------Author----------
Adelchi Azzalini, Dipart. Scienze Statistiche, Universit脿 di Padova, Italia. Please send comments, error reports, etc. to the author whose WWW page is http://azzalini.stat.unipd.it/.
Adelchi的Azzalini，Dipart。 Scienze Statistiche，意大利帕多瓦大学留学。请发送意见，错误报告等的WWW页面http://azzalini.stat.unipd.it/的作者。
牌照----------Licence----------
This package and its documentation are usable under the terms of the "GNU General Public License", a copy of which is distributed with the package. While the software is freely usable, it would be appreciated if a reference is inserted in publications or other work which makes use of it; for this purpose, see the command citation("sn").
这个软件包和它的文档是可用的副本，其中的“GNU通用公共许可证”的条件下，随产品打包发布。虽然软件是免费使用的，它可以理解，如果插在出版物或其他工作，这使得使用它的参考;为此目的，请参阅命令citation("sn")。
致谢----------Acknowledgements----------
The package has evolved through several versions, developed over some years.
该软件包已经经历了好几个版本，开发了一些年。
For versions up to 0.20, the following people and institutions have contributed. Many thanks go to Antonella Capitanio for testing the procedures, and to Brian Ripley, Kurt Hornik and Martin Maechler for useful advice on R. The function num.deriv2 is based on a similar function written by Monica Chiogna. The first version of this software and part of the associated theoretical work has been developed while the author was at the Nuffield College, Oxford, under the Jemolo Fellowship scheme; the generous support of the college is gratefully acknowledged. Additional support for the development of the theoretical research work has been provided by the "Consiglio Nazionale delle Ricerche" of Italy, grant no.97.01331.CT10.
的版本为0.20，以下人士和机构作出了贡献。非常感谢安东内拉卡皮塔尼奥测试程序，布赖恩·里普利，库尔特·霍尔尼克和马丁Maechler的为有用的建议R.的功能num.deriv2莫妮卡Chiogna写的一个类似的功能的基础上。本软件和相关的理论工作的一部分，已开发的第一个版本的作者，牛津大学纳菲尔德学院，下的Jemolo的奖学金计划的大学的大力支持表示感谢。 “CONSIGLIO Nazionale大街阿尔Ricerche”之意，授no.97.01331.CT10的理论研究工作的发展提供了额外的支持。
Versions 0.21 to 0.30 have been supported by "MIUR", Italy, under grant scheme PRIN 2000. Again, thanks to Antonella Capitanio for additional testing of those versions of the package.
0.21~0.30版本已经支持的“MIUR，意大利，补助金计划下PRIN 2000。再次，由于安东内拉卡皮塔尼奥这些版本的软件包进行额外的测试。
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 11:20:32
