Regression models for beta distributed responses in Julia
Author ararslan
3 Stars
Updated Last
12 Months Ago
Started In
May 2022


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This package provides regression modeling functionality for continuous, beta-distributed responses with values in the open interval (0, 1). Models of this kind are particularly useful when modeling rates and proportions, which naturally fall within the unit interval (or can be trivially transformed to do so).

In concept, beta regression models are quite similar to generalized linear models (GLMs), though they are not actually GLMs due to the parameterization used for the beta distribution. However, users familiar with GLM.jl will likely find that this package feels familiar in its interface and behavior.

See the package documentation for more information, including usage examples.


Ferrari, S. & Cribari-Neto, F. (2004). Beta regression for modelling rates and proportions. Journal of Applied Statistics, 31(7), 799–815.

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