Jelsema Casey M, Peddada Shyamal D
National Institute of Environmental Health Sciences (NIEHS).
J Stat Softw. 2016;75. doi: 10.18637/jss.v075.i01. Epub 2016 Nov 19.
In many applications researchers are typically interested in testing for inequality constraints in the context of linear fixed effects and mixed effects models. Although there exists a large body of literature for performing statistical inference under inequality constraints, user friendly statistical software for implementing such methods is lacking, especially in the context of linear fixed and mixed effects models. In this article we introduce , a package in the R language that can be used for testing a broad collection of inequality constraints. It uses residual bootstrap based methodology which is reasonably robust to non-normality as well as heteroscedasticity. The package is illustrated using two data sets. The package also contains a graphical interface built using the package.
在许多应用中，研究人员通常对在线性固定效应和混合效应模型的背景下检验不等式约束感兴趣。尽管存在大量关于在不等式约束下进行统计推断的文献，但缺乏用于实现此类方法的用户友好型统计软件，尤其是在线性固定效应和混合效应模型的背景下。在本文中，我们介绍了R语言中的一个包，它可用于检验广泛的不等式约束集合。它使用基于残差自助法的方法，该方法对非正态性和异方差性具有相当的稳健性。使用两个数据集对该包进行了说明。该包还包含一个使用 包构建的图形界面。
