lmerTest Package: Tests in Linear Mixed Effects Models
lmerTest Package: Tests in Linear Mixed Effects Models
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DOI：
10.18637/jss.v082.i13
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发表时间：
2017-12-01
影响因子：
5.8
通讯作者：
Christensen, Rune H. B.
中科院分区：
文献类型：
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作者：
Kuznetsova, Alexandra;Brockhoff, Per B.;Christensen, Rune H. B.
混合模型功能LMER的用户经常出现的问题是LME4软件包的LMER是：如何获得LMER返回对象的F和T测试的P值？ IMERTEST软件包通过为固定效果提供测试的P值来扩展LME4软件包的“ LMERMOD”类。我们已经实施了Satterthwaite的方法，用于近似T和F测试的自由度。我们还实施了I-II型ANOVA表的构建。此外，也可以使用Kenward-Roger近似来获取摘要以及ANOVA表，以获得自由度的分母（基于PBKRTEST软件包的KRMODCOMP函数）。包装也提供了其他方便的混合模型分析工具，例如随机和固定效果，均与固定效果进行后退消除，人口平均值的计算以及多重比较测试以及情节设施。
One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects returned by lmer? The ImerTest package extends the 'lmerMod' class of the lme4 package, by overloading the anova and summary functions by providing p values for tests for fixed effects. We have implemented the Satterthwaite's method for approximating degrees of freedom for the t and F tests. We have also implemented the construction of Type I-II ANOVA tables. Furthermore, one may also obtain the summary as well as the anova table using the Kenward-Roger approximation for denominator degrees of freedom (based on the KRmodcomp function from the pbkrtest package). Some other convenient mixed model analysis tools such as a step method, that performs backward elimination of nonsignificant effects both random and fixed, calculation of population means and multiple comparison tests together with plot facilities are provided by the package as well.