R语言 XDE包 XdeMcmc-class()函数中文帮助文档(中英文对照)

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XdeMcmc-class(XDE)
XdeMcmc-class()所属R语言包：XDE

                                        Class for storing output from the Bayesian model
                                         从贝叶斯模型类用于存储输出

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Stores output, including the last iteration of the MCMC.
店输出，包括最后的MCMC迭代。


类的对象----------Objects from the Class----------

Objects can be created by calls of the form new("XdeMcmc",   studyNames, featureNames, iterations, seed, output, directory,   lastMcmc, posteriorAvg, bayesianEffectSize).
创建对象可以通过检测的形式new("XdeMcmc",   studyNames, featureNames, iterations, seed, output, directory,   lastMcmc, posteriorAvg, bayesianEffectSize)。


插槽----------Slots----------




studyNames: Object of class "character"
studyNames类"character"：对象




featureNames: Object of class "character"
featureNames类"character"：对象




iterations: Object of class "numeric"
iterations类"numeric"：对象




directory: Object of class "character"
directory类"character"：对象




seed: Object of class "integer"
seed类"integer"：对象




output: Object of class "numeric"
output类"numeric"：对象




lastMcmc: Object of class "environment"
lastMcmc类"environment"：对象




posteriorAvg: Object of class "NULLorMatrix"
posteriorAvg类"NULLorMatrix"：对象




bayesianEffectSize: Object of class "NULLorMatrix"
bayesianEffectSize类"NULLorMatrix"：对象


方法----------Methods----------




$ signature(x = "XdeMcmc")
$signature(x = "XdeMcmc")




.standardizedDelta signature(object = "XdeMcmc")
standardizedDeltasignature(object = "XdeMcmc")




bayesianEffectSize signature(object = "XdeMcmc")
bayesianEffectSizesignature(object = "XdeMcmc")




bayesianEffectSize<- signature(object = "XdeMcmc",
bayesianEffectSize < - 的<code>签名（对象=的“XdeMcmc”




calculatePosteriorAvg signature(object = "XdeMcmc"):
calculatePosteriorAvgsignature(object = "XdeMcmc")：




directory signature(object = "XdeMcmc")
目录signature(object = "XdeMcmc")




featureNames signature(object = "XdeMcmc")
featureNamessignature(object = "XdeMcmc")




initialize signature(.Object = "XdeMcmc")
初始化signature(.Object = "XdeMcmc")




iterations signature(object = "XdeMcmc")
迭代signature(object = "XdeMcmc")




lastMcmc signature(object = "XdeMcmc")
lastMcmcsignature(object = "XdeMcmc")




nrow signature(x = "XdeMcmc")
NROWsignature(x = "XdeMcmc")




output signature(object = "XdeMcmc")
输出signature(object = "XdeMcmc")




plot signature(x = "XdeMcmc")
图signature(x = "XdeMcmc")




posteriorAvg signature(object = "XdeMcmc")
posteriorAvgsignature(object = "XdeMcmc")




seed signature(object = "XdeMcmc")
种子signature(object = "XdeMcmc")




show signature(object = "XdeMcmc")
显示signature(object = "XdeMcmc")




studyNames signature(object = "XdeMcmc")
studyNamessignature(object = "XdeMcmc")


作者（S）----------Author(s)----------


R. Scharpf



参见----------See Also----------

The class for storing the data: ExpressionSetList-class and the class that contains default options for fitting the Bayesian model: XdeParameter-class
用于存储数据的类：ExpressionSetList-class“类，它包含装修贝叶斯模型的默认选项：XdeParameter-class


举例----------Examples----------


##See XDE vignette:[＃见XDE中的小插曲：]
## Not run: [＃无法运行：]
openVignette(package="XDE")

## End(Not run)[＃结束（不运行）]

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


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