update_K: Update $K$ in Gibbs sampling
In fboehm/xu2015: Gibbs sampling for posterior inference when using determinantal point process (DPP) prior
Description
Update $K$ in Gibbs sampling
Usage
1
Arguments
y
data vector
mu
vector of class means
w
vector of class weights
sigma
vector of inverse variances, one entry per class
tau
hyperparameter
theta
hyperparameter
delta
hyperparameter
fboehm/xu2015 documentation built on May 16, 2019, noon
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Description
Update $K$ in Gibbs sampling
Usage
1 |
Arguments
y |
data vector |
mu |
vector of class means |
w |
vector of class weights |
sigma |
vector of inverse variances, one entry per class |
tau |
hyperparameter |
theta |
hyperparameter |
delta |
hyperparameter |
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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