LBEa(LBE)
LBEa()所属R语言包:LBE
Optimal setting for the parameter a
参数的优化设置
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The LBEa function is called by the main function LBE for choosing the greatest value of a such that the upper bound of the asymptotic standard deviation is less than a threshold l. A plot illustrating the relation between a and l for a fixed number of tested hypotheses can also be displayed.
被称为LBEa功能的主要功能复吹转炉,选择了这样一个渐近标准差上限是比阈值L的最大价值。说明固定数量的测试假设A和L之间的关系,也可以显示一个图。
用法----------Usage----------
LBEa(m, l = 0.05, fig = TRUE, a.rng = NA)
参数----------Arguments----------
参数:m
Total number of tested hypotheses.
测试假设的总数。
参数:l
Threshold for the upper bound of the asymptotic standard deviation (default value is 0.05).
渐近标准差(默认值是0.05)的上限阈值。
参数:fig
Logical value for plotting the standard deviation versus a.
图与标准差的逻辑值。
参数:a.rng
Range of values of a to consider. If a.rng == NA, a.rng is set such that the standard deviation is less than 0.5.
值的考虑范围。如果a.rng == NA,a.rng设置这样的标准偏差小于0.5。
Details
详情----------Details----------
The procedure LBE is based on the expectation of a particular transformation of the p-values leading to a straightforward estimation of the key quantity pi0 that is the proportion of true null hypotheses:
程序复吹转炉是基于一个特定的转换导致一个简单的关键的数量PI0是真正的零假设的比例估计p值的期望:
where a belongs to the interval [1;inf). As there is a balance between bias (decreasing as a increase) and variance (increasing as a increase), for a specified number m of tested hypotheses, we have proposed to choose the greatest value of a such that the upper bound of the asymptotic standard deviation of the estimator of pi0 is smaller than the threshold l. The function LBEa allows to plot the standard deviation versus a in order to help for the choice of the threshold l (for a specific number m of tested hypotheses).
凡属于间隔[1;inf)。之间的偏差(作为增加减少)和方差(作为一个增加的增加),由于有一个指定的测试的假设数m的平衡,我们建议选择这样的最大价值上的渐近标准的约束估计PI0偏差小于阈值L。的的功能LBEa允许绘制与标准差,以帮助选择的阈值L(测试假设一个特定的数m)。
值----------Value----------
参数:a
Greatest value of a such that the the upper bound of the asymptotic standard deviation of the estimator of pi0 is smaller than the threshold l.
这样的渐近估计PI0的标准偏差的上限是小于阈值L的最大价值。
作者(S)----------Author(s)----------
Cyril Dalmasso
参考文献----------References----------
参见----------See Also----------
LBE, LBEplot, LBEsummary, LBEwrite
LBE,LBEplot,LBEsummary,LBEwrite
举例----------Examples----------
## start[#开始]
data(hedenfalk.pval)
m <- length(hedenfalk.pval)
LBEa(m,l = 0.05)
## end[#结束]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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