simplexreg: an R package for regression analysis of proportional data using the simplex distribution

Zhang, Peng, Qiu, Zhenguo and Shi, Chengchun ORCID: 0000-0001-7773-2099 (2016) simplexreg: an R package for regression analysis of proportional data using the simplex distribution. Journal of Statistical Software, 71 (11). ISSN 1548-7660

Text (Shi_r-package-for-regression-analysis--published) - Published Version Available under License Creative Commons Attribution. Download (974kB)

• Scopus publication
• Author

Abstract

Outcomes of continuous proportions arise in many applied areas. Such data are typically measured as percentages, rates or proportions confined in the unitary interval. In this paper, the R package simplexreg which provides dispersion model fitting of the simplex distribution is introduced to model such proportional outcomes. The maximum likelihood method and generalized estimating equations techniques are available for parameter estimation in cross-sectional and longitudinal studies, respectively. This paper presents methods and algorithms implemented in the package, including parameter estimation, model checking as well as density, cumulative distribution, quantile and random number generating functions of the simplex distribution. The package is applied to real data sets for illustration.

Item Type:	Article
Official URL:	https://www.jstatsoft.org/index
Additional Information:	© 2016 The Authors
Divisions:	Statistics
Subjects:	H Social Sciences > HA Statistics
Date Deposited:	15 Oct 2019 12:45
Last Modified:	20 Dec 2024 00:37
URI:	http://eprints.lse.ac.uk/id/eprint/102115

Actions (login required)

View Item