Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Extended beta regression in R : shaken, stirred, mixed, and partitioned

Tools
- Tools
+ Tools

Grun, Bettina, Kosmidis, Ioannis and Zeileis, Achim (2012) Extended beta regression in R : shaken, stirred, mixed, and partitioned. Journal of Statistical Software, 48 (11). pp. 1-25.

[img]
Preview
PDF
WRAP-extended-beta-regression-R-shaken-stirred-mixed-partitioned-Kosmidis-2012.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution.

Download (907Kb) | Preview
Official URL: https://www.jstatsoft.org/article/view/v048i11

Request Changes to record.

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.

Item Type: Journal Article
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Regression analysis, R (Computer program language), Recursive partitioning, Mixture distributions (Probability theory), Mathematical statistics
Journal or Publication Title: Journal of Statistical Software
Publisher: University of California, Los Angeles
ISSN: 1548-7660
Official Date: 24 May 2012
Dates:
DateEvent
24 May 2012Published
14 February 2011Accepted
Date of first compliant deposit: 15 February 2018
Volume: 48
Number: 11
Page Range: pp. 1-25
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
V170-N18Austrian Science Fundhttp://dx.doi.org/10.13039/501100002428

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us