exactLRT(RLRsim)
exactLRT()所属R语言包：RLRsim
Likelihood Ratio Tests for simple linear mixed models
简单的线性混合模型的似然比检验
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function provides an exact likelihood ratio test based on simulated values from the finite sample distribution for simultaneous testing of the presence of the variance component and some restrictions of the fixed effects in a simple linear mixed model with known correlation structure of the random effect and i.i.d. errors.
此功能提供了一个准确的基于方差分量的存在下，和固定在一个简单的线性混合模型的公知的相关结构的随机效应的影响的一些限制的同时进行测试，从有限的样本分布的模拟值，并独立同分布的似然比检验错误。
用法----------Usage----------
exactLRT(m, m0, seed = NA, nsim = 10000, log.grid.hi = 8,
log.grid.lo = -10, gridlength = 200)
参数----------Arguments----------
参数：m
The fitted model under the alternative; of class lme, lmer or spm
拟合模型下的替代类lme，lmer或spm
参数：m0
The fitted model under the null hypothesis; of class lm
拟合模型的零假设下，类lm
参数：seed
Specify a seed for set.seed
指定为set.seed种子
参数：nsim
Number of values to simulate
参数值的数量来模拟
参数：log.grid.hi
Lower value of the grid on the log scale. See exactLRT.
较低的值的log规模上的网格。见exactLRT。
参数：log.grid.lo
Lower value of the grid on the log scale. See exactLRT.
较低的值的log规模上的网格。见exactLRT。
参数：gridlength
Length of the grid. See LRTSim.
网格的长度。见LRTSim。
Details
详细信息----------Details----------
The model under the alternative must be a linear mixed model y=X*beta+Z*b+epsilon with a single random effect b with known correlation structure and error terms that are i.i.d. The hypothesis to be tested must be of the form
该模型下的替代方案必须是一个线性混合模型y=X*beta+Z*b+epsilon与一个单一的随机效果b与已知的相关结构和误差项是独立同分布假设以进行测试，必须是这样的形式
versus
与
We use the exact finite sample distribution of the likelihood ratio test statistic as derived by Crainiceanu & Ruppert (2004).
我们使用精确的有限样本分布的似然比检验统计量，推导出Crainiceanu鲁珀特（2004年）。
值----------Value----------
A list of class htest containing the following components:
列表类htest包含以下组件：
参数：statistic
the observed likelihood ratio
所观察到的似然比
参数：p
p-value for the observed test statistic
所观察到的检验统计量的p-值
参数：method
a character string indicating what type of test was performed and how many values were simulated to determine the critical value
一个字符串，表示什么类型的测试执行和多少个值进行了模拟，以确定临界值
参数：sample
the samples from the null distribution returned by RLRTSim
空分布的样品返回RLRTSim
（作者）----------Author(s)----------
Fabian Scheipl, updates for <span class="pkg">lme4.0</span>-compatibility by Ben Bolker
参考文献----------References----------
Likelihood ratio tests in linear mixed models with one variance component,
参见----------See Also----------
LRTSim for the underlying simulation algorithm;
LRTSim模拟算法的基础;
实例----------Examples----------
library(nlme);
data(Orthodont);
##test for Sex:Age interaction and Subject-Intercept[测试性别：年龄互动和主题拦截的]
mA<-lme(distance ~ Sex * I(age - 11), random = ~ 1| Subject,
data = Orthodont, method = "ML")
m0<-lm(distance ~ Sex + I(age - 11), data = Orthodont)
summary(mA)
summary(m0)
exactLRT(m = mA, m0 = m0)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-26 23:31:20
