R包
计算机科学
广义线性混合模型
混合模型
统计
协变量
计量经济学
线性模型
广义线性模型
数学
统计假设检验
随机效应模型
应用数学
算法
作者
Alexandra Kuznetsova,Per B. Brockhoff,Rune Haubo Bojesen Christensen
标识
DOI:10.18637/jss.v082.i13
摘要
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 lmerTest 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 - III 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI