Abstract

This paper is concerned with providing some computation-related details of the 16R packages that have been developed by Demirtas and his colleagues in the context of random number generation. The dominant theme is multivariate mixed data generation. However, univariate and multivariate data generation from different distributions as well as some other tools such as modeling the correlation transitions in latency and discretization domains are also included. This is intended for interested people who would benefit from access to a comprehensive set of data simulation tools at one single place. While the focus is on conceptual and implementation issues, the ideas are supported by appropriate references for methodological development.

摘要

本文关注的是提供由 Demirtas 及其同事在随机数生成的背景下开发的 16R 包的一些与计算相关的细节。主要主题是多元混合数据生成。但是，还包括来自不同分布的单变量和多变量数据生成以及其他一些工具，例如对延迟和离散化域中的相关转换进行建模。这适用于感兴趣的人，他们将受益于在一个地方访问一整套数据模拟工具。虽然重点是概念和实施问题，但这些想法得到了方法开发的适当参考的支持。