# Tagged Questions

The beta distribution is used in beta regression, which can be very useful when the dependent variable has a floor or ceiling effect or is bounded.

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### Is it possible to interpret standardized beta coefficients for quantile regression?

Is it possible to interpret coefficients from a quantile regression on standardized data? Suppose I standardize the dependent variable $y$ and the independent variable $x$ (subtract the mean and ...
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### What do I do if my predicted values are out of the dependent variable range?

I have built a beta regression model with log link for predicting adherence. My dependent variable's range is 0 to 1.When I used a test set to calculate the predicted values with the parameter ...
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### Z-scores and normalization in previously transformed data sets

I have two sets of data. The first is multivariate linear regression data consisting of betas and standard errors. It was log(e) transformed before the linear regression model was applied. The ...
303 views

### Estimating the parameters of a beta distribution with zeroes and ones in the sample

I have a list of values in [0,1] that I want to fit to a Beta distribution in order to get the corresponding alpha parameter. I can't use a beta fitting function because my values might be 0's and ...
143 views

### Multi-level beta regression package for R?

I want to run multi-level beta regression with two levels (years nested within geographic pixels). I know about betareg, but as far as I know it doesn't have a multi-level option. Thanks.
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### How to interpret results of GLM with a beta distribution in R?

I'm currently working on a project where my model is a GLM with a beta distribution. The dependent variable is bimodal. I've done this before, in Stata, but I'm having some difficulty interpreting ...
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### How to - meta-analysis and forest plots using Beta correlation coefficients

Does anyone knows how to meta-analyse and create forest plots using beta-correlation coefficients?
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### Draw conditioned beta distributed random variables

I am trying to draw a beta distributed random variable (recovery rate), conditioned on another beta distributed random variable (default rate). I have shape parameters $(\alpha= 0.6, \beta = 55.5)$ ...
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### Is it possible to find out how unlikely a given Beta(alpha,beta) – Beta(alpha’,beta’) is?

X_i -> the distance between two nodes in a graph. X_i ~ NB(r,p) where p ~ Beta(alpha, beta). After the posterior hyperparameters are obtained, Beta(alpha,beta) – Beta(alpha’,beta’) could be found ...