R语言 SampleSizeMeans包 SampleSizeMeans-package()函数中文帮助文档(中英文对照)

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SampleSizeMeans-package(SampleSizeMeans)
SampleSizeMeans-package()所属R语言包：SampleSizeMeans

                                        Bayesian sample sizes calculations based on highest posterior density intervals for normal means and differences between normal means
                                         贝叶斯样本量计算后密度最高的时间间隔为正常的手段和正常手段之间的差异

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Sample size determination based on highest posterior density intervals for normal means and difference between normal means using three different Bayesian approaches
样品大小确定后验密度最高的时间间隔为正常的手段和正常手段使用三种不同的贝叶斯方法之间的差异的基础上


Details

详细信息----------Details----------

</table>  A set of R functions for calculating sample size requirements using three different Bayesian criteria in the context of designing an experiment to estimate normal means or the difference between two normal means.  Criteria include the Average Length Criterion, the Average Coverage Criterion and the Modified Worst Outcome Criterion.  Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided. <br><br> See the related package SampleSizeProportions for Bayesian sample size determination for the difference between two binomial proportions  <br>http://cran.r-project.org/web/packages/SampleSizeProportions/index.html
</表> R函数使用三种不同的贝叶斯标准以设计一个实验来估计正常的装置或两个正常的装置之间的差异的情况下，用于计算样品的尺寸要求的一组。标准包括平均长度标准，平均覆盖率标准和修改后的最坏的结果标准。提供的功能完全贝叶斯和混合贝叶斯/可能性的方法。参考参考请参阅相关的包SampleSizeProportions贝叶斯样本数的两个二项式比例参考http://cran.r-project.org/web/packages/SampleSizeProportions/index之间的差异。 HTML


（作者）----------Author(s)----------


Lawrence Joseph and Patrick Belisle<br>
Maintainer: Lawrence Joseph <a href="mailto:lawrence.joseph@mcgill.ca">lawrence.joseph@mcgill.ca</a>



参考文献----------References----------

Bayesian sample size determination for Normal means and differences between Normal means<br>

参见----------See Also----------

mu.acc, mu.alc, mu.modwoc, mu.varknown, mu.mblacc, mu.mblalc, mu.mblmodwoc, mu.mbl.varknown, mu.freq, mudiff.acc, mudiff.alc, mudiff.modwoc, mudiff.acc.equalvar, mudiff.alc.equalvar, mudiff.modwoc.equalvar, mudiff.varknown, mudiff.mblacc, mudiff.mblalc, mudiff.mblmodwoc, mudiff.mblacc.equalvar, mudiff.mblalc.equalvar, mudiff.mblmodwoc.equalvar, mudiff.mbl.varknown, mudiff.freq
mu.acc，mu.alc，mu.modwoc，mu.varknown，mu.mblacc，mu.mblalc，mu.mblmodwoc，mu.mbl.varknown，mu.freq，mudiff.acc，mudiff.alc，mudiff.modwoc，mudiff.acc.equalvar，mudiff.alc.equalvar，mudiff.modwoc.equalvar，mudiff.varknown，mudiff.mblacc ，mudiff.mblalc，mudiff.mblmodwoc，mudiff.mblacc.equalvar，mudiff.mblalc.equalvar，mudiff.mblmodwoc.equalvar，mudiff.mbl.varknown，mudiff.freq

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