Toward a Common Framework for Statistical Analysis and Development
Toward a Common Framework for Statistical Analysis and Development
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DOI：
10.1198/106186008x384898
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发表时间：
2008-12-01
影响因子：
2.4
通讯作者：
Lau, Olivia
中科院分区：
文献类型：
--
作者：
Imai, Kosuke;King, Gary;Lau, Olivia
我们开发了一个通用的统计方法本体，并使用它来提出一个通用的框架，统计分析和软件开发的基础上，并在R语言，包括R的众多现有的包。该框架提供了一个简单的统一结构和语法，可以涵盖现有统计程序的很大一部分。我们推测，它可以用来涵盖和目前只是绝大多数现有的统计方法，而不需要改变现有的方法，无论理论的推断，他们的基础上，符号与他们开发，和编程语法与他们已经实现。这一发展使我们能够，也应该使其他人能够设计具有单一，简单和统一的用户界面的统计软件，有助于克服众多学科方法子领域中存在的相互冲突的符号，语法，行话和统计方法。该方法还允许构建一个图形用户界面，该界面自动包含框架中包含的任何方法。我们希望这一系列研究的结果将大大减少从创建新的统计创新到应用研究人员广泛使用它的时间，无论他们是否使用R或使用R编程。
We develop a general ontology of statistical methods and use it to propose a common framework for statistical analysis and software development built on and within the R language, including R's numerous existing packages. This framework offers a simple unified structure and syntax that can encompass a large fraction of existing statistical procedures. We conjecture that it can be used to encompass and present simply a vast majority of existing statistical methods, without requiring changes in existing approaches, and regardless of the theory of inference on which they are based, notation with which they were developed, and programming syntax with which they have been implemented. This development enabled us, and should enable others, to design statistical software with a single, simple, and unified user interface that helps overcome the conflicting notation, syntax, jargon, and statistical methods existing across the methods subfields of numerous academic disciplines. The approach also enables one to build a graphical user interface that automatically includes any method encompassed within the framework. We hope that the result of this line of research will greatly reduce the time from the creation of a new statistical innovation to its widespread use by applied researchers whether or not they use or program in R.