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

Peng Zhang, Zhenguo Qiu and Chengchun Shi

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

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.

Keywords: dispersion models; proportional data; R; random variable generation; simplex distribution (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2016-08-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Published in Journal of Statistical Software, 3, August, 2016, 71(11). ISSN: 1548-7660

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Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:102115

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