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betareg

Beta Regression

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.

Functions (17)

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

MockJurors

Confidence of Mock Jurors in Their Verdicts

ReadingSkills

Dyslexia and IQ Predicting Reading Accuracy

StressAnxiety

Dependency of Anxiety on Stress

WeatherTask

Weather Task With Priming and Precise and Imprecise Probabilities

betamix

Finite Mixtures of Beta Regression for Rates and Proportions

betareg

Beta Regression for Rates and Proportions

betareg.control

Control Parameters for Beta Regression

betatree

Beta Regression Trees

gleverage

Generalized Leverage Values

plot.betareg

Diagnostic Plots for betareg Objects

predict.betareg

Prediction Method for betareg Objects

residuals.betareg

Residuals Method for betareg Objects

summary.betareg

Methods for betareg Objects

betareg

Beta Regression

v3.1-4

GPL-2 | GPL-3

Authors

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)

Initial release

2021-02-09

betareg

Functions (17)

betareg

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