Questions tagged [beta-regression]
Beta regression is useful when the dependent variable is bounded, or when it has a ceiling or floor effect. It can also be used for modeling both the mean and the variance.
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R: How to calculate power to detect a change in mean beta reg.?
I'm interested in calculating the power to detect a change in my mean response variable by a certain effect size, but I'm not sure how to start. My Y variable is mean plant cover 0-100% cover (mean of ...
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Difference between regression methods
When to use logistic regression and when to use beta regression in statistical modeling for given data? How do know the difference between them? And when can I fit just a linear regression and not ...
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Beta regression-dealing with small number of 0,1 values
I have a small dataset for 100 participants.
The dataset includes repeated 'tests' over a course of a week. A test can have the binary outcome of pass or fail, and the same number of tests are not ...
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How to resolve the residual versus predicted quantile devation (Dharma plot)?
I have been trying to perform beta regression modeling with random effects. I have sex ratio (0.561, 0.765 etc) as the
response variable, and climatic variables + years (1970-2021) as predictor ...
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What causes the parameter phi (precision) to be very small in beta regression (by betareg in R)?
I tried to do a beta regression for a variable affected by age and intimacy, but it did not work well. The value of phi (precision) estimated by maximum likelihood method is very small, and when I ...
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Can Phi coefficient for intercept be negative?
I am working on beta regression model with two grouping variables (farm and years). Climatic variables are my predictors. Response variable is male proportion. I standardized all variables prior to ...
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Does survey R package allow me to do beta regression?
I have a complex survey dataset with a response (dependent variable) bounded between 0 and 1, where I have applied multiple imputation to the dataset to account for missing data. The response formally ...
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Beta regression for interaction terms without full rank? (R)
I have a series of beta regressions I have performed on the effects of tissue type, year, and age class on the eccentricity of ellipses, which varies between 0 and 1. I have created interaction models ...
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binomial GLM for proportion Vs Beta regression
Suppose that I have a dependent variable which is the proportion of persons infected with a certain disease out of the total number tested in different locations. Assuming the difference in ...
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Simulate a distribution from a fitted beta-regression model for a density plot in R [duplicate]
I have produced the following figure by simulating some values from a fitted gamma regression with a low AIC value that provides the closest approximation of my raw data out of all of my models, and ...
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Beta regression with success and failure raw data
I am analyzing data from cancer patients that underwent surgery for cancer removal. During surgery, the surgeon checked a variable number of lymph nodes to see how many had cancer in them. This is ...
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Modeling a 0-1 Bounded Dependent Variable That is Not a Proportion/Probability
I have seen many applications of beta regression when dependent variables are bounded between 0 and 1 (proportions, probabilities, etc.).
However, would beta regression be appropriate when my ...
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Interpretation of betareg coefficients where observations transformed to account for y=0 or y=1
I am running a beta-regression using betareg in R (with default logit link function). My response variable is a proportion, and may include 0 and/or 1. I've transformed the data following the betareg ...
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Why does MCMC estimate the variance in a logit-normal model incorrectly?
I am trying to estimate the variance $\varepsilon^2_X$ in a simple logit-normal model of the form
$ \sigma^{-1}(U) \sim \mathcal{N}(\mu_U, \varepsilon^2_U)$
$ \sigma^{-1}(X) \sim \mathcal{N}(\sigma^{-...
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Beta regression coefficient interpretation
I'm trying to use beta regression on a data set where the response variable is in percentage (i.e. between 0 and 1), so let's say it's the unemployment rate. I'm having trouble wrapping my head around ...
