prior_gamma: Gamma prior
In tulpa: Templated Unified Library for Posterior Approximation in Bayesian Hierarchical Models
prior_gamma R Documentation
Gamma prior
Description
Specify a gamma prior for a positive parameter.
Usage
prior_gamma(shape = 2, rate = 0.1)
Arguments
shape
Shape parameter (alpha). Must be positive.
rate
Rate parameter (beta). Must be positive.
Details
Mean = shape/rate, Variance = shape/rate^2.
Value
A tulpa_prior object
Examples
prior_gamma(2, 0.1) # Mean = 20, weakly informative
prior_gamma(1, 1) # Exponential(1)
tulpa documentation built on Oct. 19, 2026, 5:09 p.m.
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| prior_gamma | R Documentation |
Gamma prior
Description
Specify a gamma prior for a positive parameter.
Usage
prior_gamma(shape = 2, rate = 0.1)
Arguments
shape |
Shape parameter (alpha). Must be positive. |
rate |
Rate parameter (beta). Must be positive. |
Details
Mean = shape/rate, Variance = shape/rate^2.
Value
A tulpa_prior object
Examples
prior_gamma(2, 0.1) # Mean = 20, weakly informative
prior_gamma(1, 1) # Exponential(1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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