update_theta: Update $theta$ in Gibbs sampling
In fboehm/xu2015: Gibbs sampling for posterior inference when using determinantal point process (DPP) prior
Description
Update $theta$ in Gibbs sampling
Usage
1
update_theta(theta, tau, mu, a1 = 0, b1 = 50, exponent = 0:199)
Arguments
theta
scalar
tau
scalar
mu
vector of means
a1
hyperparameter, prior mean for theta
b1
hyperparameter, prior sd for theta
fboehm/xu2015 documentation built on May 16, 2019, noon
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Description
Update $theta$ in Gibbs sampling
Usage
1 | update_theta(theta, tau, mu, a1 = 0, b1 = 50, exponent = 0:199)
|
Arguments
theta |
scalar |
tau |
scalar |
mu |
vector of means |
a1 |
hyperparameter, prior mean for theta |
b1 |
hyperparameter, prior sd for theta |
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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