PoisNor: An R package for generation of multivariate data with Poisson and normal marginals

被引：5
|
作者：
Amatya, Anup [1 ]
Demirtas, Hakan [2 ]
机构：
[1] New Mexico State Univ, Dept Publ Hlth Sci, 1335 Int Mall,RM 102, Las Cruces, NM 88011 USA
[2] Univ Illinois, Div Epidemiol & Biostat, Chicago, IL USA
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2017年 / 46卷 / 03期
关键词：
Count and continuous data; Random number generation; Simulation; REGRESSION; MODELS;
D O I：
10.1080/03610918.2015.1039854
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In this article, the operational details of the R package PoisNor that is designed for simulating multivariate data with count and continuous variables with a prespecified correlation matrix are described, and examples of some important functions are given. The data-generation mechanism is a combination of the "NORmal To Anything" principle and a recently established connection between Poisson and normal correlations. The package provides a unique and useful tool that has been lacking for generating multivariate mixed data with Poisson and normal components.
引用
收藏
页码：2241 / 2253
页数：13
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