Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions.
In addition to maximum likelihood regression (for both mean and precision of a beta-distributed
response), bias-corrected and bias-reduced estimation as well as finite mixture models and
recursive partitioning for beta regressions are provided.
| Version: |
3.0-5 |
| Depends: |
R (≥ 2.10.0) |
| Imports: |
graphics, methods, stats, flexmix, Formula, lmtest, modeltools, sandwich |
| Suggests: |
car, lattice, party, strucchange |
| Published: |
2014-09-25 |
| Author: |
Achim Zeileis [aut, cre],
Francisco Cribari-Neto [aut],
Bettina Gruen [aut],
Ioannis Kosmidis [aut],
Alexandre B. Simas [ctb] (earlier version by),
Andrea V. Rocha [ctb] (earlier version by) |
| Maintainer: |
Achim Zeileis <Achim.Zeileis at R-project.org> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Citation: |
betareg citation info |
| Materials: |
NEWS |
| In views: |
Econometrics, Psychometrics, SocialSciences |
| CRAN checks: |
betareg results |