R2MLwiN: A Package to Run MLwiN from within R
R2MLwiN: A Package to Run MLwiN from within R
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DOI：
10.18637/jss.v072.i10
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发表时间：
2016-09-01
影响因子：
5.8
通讯作者：
Browne, William J.
中科院分区：
文献类型：
--
作者：
Zhang, Zhengzheng;Parker, Richard M. A.;Browne, William J.
R2 MLwiN是一个新的软件包，旨在从R环境中运行多级建模软件程序MLwiN。它允许指定一个大范围的模型，其中考虑到一个多级结构，包括连续的，二进制的，比例，计数，有序和名义上的响应数据结构是嵌套的，交叉分类和/或表现出多个成员。估计可通过迭代广义最小二乘法（IGLS），它产生最大似然估计，也可通过马尔可夫链蒙特卡罗（MCMC）估计贝叶斯推断。除了使用MLwiN自己的MCMC引擎外，用户还可以请求MLwiN编写BUGS模型、数据和初始值语句，以用于WinBUGS或OpenBUGS（R2 MLwiN通过rbugs自动调用），使用MLwiN的IGLS起始值。用户还可以利用MLwiN的图形用户界面：例如，通过其交互式方程和图形窗口指定模型和检查绘图。R2 MLwiN得到了大量示例的支持，再现了MLwiN的IGLS和MCMC手册中进行的所有分析。
R2MLwiN is a new package designed to run the multilevel modeling software program MLwiN from within the R environment. It allows for a large range of models to be specified which take account of a multilevel structure, including continuous, binary, proportion, count, ordinal and nominal responses for data structures which are nested, cross-classified and/or exhibit multiple membership. Estimation is available via iterative generalized least squares (IGLS), which yields maximum likelihood estimates, and also via Markov chain Monte Carlo (MCMC) estimation for Bayesian inference. As well as employing MLwiN's own MCMC engine, users can request that MLwiN write BUGS model, data and initial values statements for use with WinBUGS or OpenBUGS (which R2MLwiN automatically calls via rbugs), employing IGLS starting values from MLwiN. Users can also take advantage of MLwiN's graphical user interface: for example to specify models and inspect plots via its interactive equations and graphics windows. R2MLwiN is supported by a large number of examples, reproducing all the analyses conducted in MLwiN's IGLS and MCMC manuals.