论文标题
密度及其衍生物的内核估计器和带宽选择：KEDD包装
Kernel Estimator and Bandwidth Selection for Density and its Derivatives: The kedd Package
论文作者
论文摘要
KEDD软件包为R统计系统提供了其他平滑技术。尽管综合R档案网络（CRAN）上的各种软件包提供了对非参数统计信息有用的功能，但KEDD的目的是作为更具体的非参数功能和数据集的中心位置。包装的当前特征集可以分为四个主要类别：计算内核函数的卷积和衍生物，计算概率及其衍生物密度的内核估计器，以不同的方法计算带宽选择器，以不同的方法显示带宽的内核估计器和选择功能。此外，该软件包遵循与模型对象合作的一般性理念。这意味着，它不仅仅是返回密度的rth导数的内核估计器，而是许多函数将返回包含的对象，而是函数是S3类（S3Method）。然后，可以使用各种提取，摘要或绘图功能来按意愿操纵对象。只要有可能，我们就会开发一个相干整体各种功能的图形用户界面，以方便使用此软件包。
The kedd package providing additional smoothing techniques to the R statistical system. Although various packages on the Comprehensive R Archive Network (CRAN) provide functions useful to nonparametric statistics, kedd aims to serve as a central location for more specifically of a nonparametric functions and data sets. The current feature set of the package can be split in four main categories: compute the convolutions and derivatives of a kernel function, compute the kernel estimators for a density of probability and its derivatives, computing the bandwidth selectors with different methods, displaying the kernel estimators and selection functions of the bandwidth. Moreover, the package follows the general R philosophy of working with model objects. This means that instead of merely returning, say, a kernel estimator of rth derivative of a density, many functions will return an object containing, it's functions are S3 classes (S3method). The object can then be manipulated at one's will using various extraction, summary or plotting functions. Whenever possible, we develop a graphical user interface of the various functions of a coherent whole, to facilitate the use of this package.
