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betareg (version 3.1-2)

Beta Regression

Description

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.

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Version

Install

install.packages('betareg')

Monthly Downloads

16,895

Version

3.1-2

License

GPL-2 | GPL-3

Maintainer

Achim Zeileis

Last Published

May 16th, 2019

Functions in betareg (3.1-2)

summary.betareg

Methods for betareg Objects
betareg.control

Control Parameters for Beta Regression
plot.betareg

Diagnostic Plots for betareg Objects
gleverage

Generalized Leverage Values
predict.betareg

Prediction Method for betareg Objects
residuals.betareg

Residuals Method for betareg Objects
WeatherTask

Weather Task With Priming and Precise and Imprecise Probabilities
betatree

Beta Regression Trees
MockJurors

Confidence of Mock Jurors in Their Verdicts
ReadingSkills

Dyslexia and IQ Predicting Reading Accuracy
StressAnxiety

Dependency of Anxiety on Stress
CarTask

Partition-primed Probability Judgement Task for Car Dealership
FoodExpenditure

Proportion of Household Income Spent on Food
GasolineYield

Estimation of Gasoline Yields from Crude Oil
ImpreciseTask

Imprecise Probabilities for Sunday Weather and Boeing Stock Task
betamix

Finite Mixtures of Beta Regression for Rates and Proportions
betareg

Beta Regression for Rates and Proportions