Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned

Bettina Grün, Ioannis Kosmidis and Achim Zeileis ()

Journal of Statistical Software, 2012, vol. 048, issue i11

Abstract: Beta regression – an increasingly popular approach for modeling rates and proportions – is extended in various directions: (a) bias correction/reduction of the maximum likelihood estimator, (b) beta regression tree models by means of recursive partitioning, (c) latent class beta regression by means of finite mixture models. All three extensions may be of importance for enhancing the beta regression toolbox in practice to provide more reliable inference and capture both observed and unobserved/latent heterogeneity in the data. Using the analogy of Smithson and Verkuilen (2006), these extensions make beta regression not only “a better lemon squeezer” (compared to classical least squares regression) but a full-fledged modern juicer offering lemon-based drinks: shaken and stirred (bias correction and reduction), mixed (finite mixture model), or partitioned (tree model). All three extensions are provided in the R package betareg (at least 2.4-0), building on generic algorithms and implementations for bias correction/reduction, model-based recursive partioning, and finite mixture models, respectively. Specifically, the new functions betatree() and betamix() reuse the object-oriented flexible implementation from the R packages party and flexmix, respectively.

Date: 2012-05-24
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v048i11/v48i11.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... betareg_3.0-0.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v048i11/v48i11.R

Related works:
Working Paper: Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned (2011)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:048:i11

DOI: 10.18637/jss.v048.i11

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().