Beta Regression
Create a Zero- and/or One-Inflated Beta Distribution
Create a 4-Parameter Beta Distribution
Finite Mixtures of Beta Regression for Rates and Proportions
Create a Beta Regression Distribution
Control Parameters for Beta Regression
Beta Regression for Rates and Proportions
Beta Regression Trees
The Zero- and/or One-Inflated Beta Distribution in Regression Paramete...
The 4-Parameter Beta Distribution in Regression Parameterization
The Beta Distribution in Regression Parameterization
The Extended-Support Beta Distribution
The Extended-Support Beta Mixture Distribution
Generalized Leverage Values
Diagnostic Plots for betareg Objects
Prediction Method for betareg Objects
Residuals Method for betareg Objects
Methods for betareg Objects
Create an Extended-Support Beta Distribution
Create an Extended-Support Beta Mixture Distribution
Beta regression for modeling beta-distributed dependent variables on the open unit interval (0, 1), e.g., rates and proportions, see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. Moreover, extended-support beta regression models can accommodate dependent variables with boundary observations at 0 and/or 1. For the classical beta regression model, alternative specifications are provided: Bias-corrected and bias-reduced estimation, finite mixture models, and recursive partitioning for beta regression, see Grün, Kosmidis, and Zeileis (2012) <doi:10.18637/jss.v048.i11>.
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