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引用次数: 5
摘要
R包skpr提供了一套功能来生成和评估实验设计。skpr包生成D, I, Alias, A, E, T和g最优设计,并支持自定义用户定义的最优性标准,n级分割图设计,混合设计和设计增强。还包括用于正态、非正态、随机效应和生存模型的分析和蒙特卡罗功率评估函数的集合,以及用于绘制设计空间图和相关图的工具。此外,skpr还包括一个灵活的框架,供用户使用外部库和用户定义的函数执行自定义功率分析,以及一个图形用户界面,该界面将软件包的大部分功能封装在一个点击式web应用程序中。
Optimal Design Generation and Power Evaluation in R: The skpr Package
The R package skpr provides a suite of functions to generate and evaluate experimental designs. Package skpr generates D, I, Alias, A, E, T, and G-optimal designs, and supports custom user-defined optimality criteria, N-level split-plot designs, mixture designs, and design augmentation. Also included are a collection of analytic and Monte Carlo power evaluation functions for normal, non-normal, random effects, and survival models, as well as tools to plot fraction of design space plots and correlation maps. Additionally, skpr includes a flexible framework for the user to perform custom power analyses with external libraries and user-defined functions, as well as a graphical user interface that wraps most of the functionality of the package in a point-and-click web application.
期刊介绍:
The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.