miPoolChi(simsem)
miPoolChi()所属R语言包:simsem
Function to pool chi-square statistics from the result from multiple imputation
池卡方统计的结果多重插补功能
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The function combines likelihood ratio chi-square statistics from an analysis of multiply imputed data sets using the method proposed by Li, Meng, Raghunathan, and Rubin (1991, p. 74).
功能结合似然比卡方统计分析多重插补数据集的使用方法,李蒙,35 - 鲁宾(1991年,第74页),提出。
用法----------Usage----------
miPoolChi(chis, df)
参数----------Arguments----------
参数:chis
A vector of chi-square statistics
卡方统计的矢量
参数:df
Degree of freedom that the chi-square statistics are based on
自由度的卡方统计数据的基础上
Details
详细信息----------Details----------
The chi-square statistics are pooled by the procedure proposed by Li, Meng, Raghunathan, and Rubin (1991; Equations 2.1, 2.2, 2.16, and 2.17).
卡方统计汇总李蒙,35 - 鲁宾(1991年;方程2.1,2.2,2.16和2.17),提出的程序。
值----------Value----------
The resulting value from the pooled chi-square is F-statistic. If the denominator degree of freedom is large, the F value multiplied by the numerator degree of freedom will approximate the chi-square statistics.
从汇集的卡方所得到的值是F-统计量。如果分母自由度大,F值乘以分子自由度的卡方统计。
(作者)----------Author(s)----------
Craig Enders originally wrote this function in SAS, <a href="http://psychology.clas.asu.edu/files/CombiningLikelihoodRatioChi-SquareStatisticsFromaMIAnalysis.sas">http://psychology.clas.asu.edu/files/CombiningLikelihoodRatioChi-SquareStatisticsFromaMIAnalysis.sas</a>. Sunthud Pornprasertmanit (University of Kansas; <a href="mailto:psunthud@ku.edu">psunthud@ku.edu</a>) modified the function to run in R.
参考文献----------References----------
参见----------See Also----------
miPool for pooling analysis results (parameters and standard errors) and returns pooled parameter estimates, standard errors, and fit indices.
miPool汇集分析结果(参数和标准错误),并返回合并参数估计值,标准误差,拟合指数。
miPoolVector for pooling multiple imputation results that providing in matrix or vector formats
miPoolVector汇集多重插补矩阵或矢量格式,提供
实例----------Examples----------
miPoolChi(c(89.864, 81.116, 71.500, 49.022, 61.986, 64.422, 55.256, 57.890, 79.416, 63.944), 2)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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