论文标题
vartestnlme：线性和非线性混合效应模型中的方差组件测试的R软件包
varTestnlme: an R package for Variance Components Testing in Linear and Nonlinear Mixed-effects Models
论文作者
论文摘要
当构建混合效应模型时，自然会出现方差组件测试的问题，以确定应将哪些效果建模为固定或随机。虽然R在R中可用于固定效果的测试，以适用于装有LME4的型号，但在随机效果方面缺少工具。 R的vartestnlme软件包旨在填补此空白。它允许测试使用可能性比测试统计量的渐近特性的方差和协方差的任何子集是否等于零。它还提供了同时测试固定效果和方差成分的可能性。它可用于通过LME4，NLME或SAEMIX拟合的线性，广义线性或非线性混合效应模型。召回了使用的似然比测试的理论属性，用于实施测试过程的数值方法是详细的，并根据不同的实际数据集使用了不同的混合模型。
The issue of variance components testing arises naturally when building mixed-effects models, to decide which effects should be modeled as fixed or random. While tests for fixed effects are available in R for models fitted with lme4, tools are missing when it comes to random effects. The varTestnlme package for R aims at filling this gap. It allows to test whether any subset of the variances and covariances corresponding to any subset of the random effects, are equal to zero using asymptotic property of the likelihood ratio test statistic. It also offers the possibility to test simultaneously for fixed effects and variance components. It can be used for linear, generalized linear or nonlinear mixed-effects models fitted via lme4, nlme or saemix. Theoretical properties of the used likelihood ratio test are recalled, numerical methods used to implement the test procedure are detailed and examples based on different real datasets using different mixed models are provided.
