UpWhet: M-step for the weights of a Bayesian mixture of Plackett-Luce...
In cmollica/PLMIX: Bayesian Analysis of Finite Mixture of Plackett-Luce Models
Description
Usage
Arguments
Value
Description
The function UpWhet updates the mixture weight estimates in the EM algorithm for MAP estimation of a Bayesian mixture of Plackett-Luce models
Usage
1
UpWhet(z_hat, alpha0)
Arguments
z_hat
Numeric NxG matrix of posterior component membership probabilities.
alpha0
Numeric vector of G Dirichlet hyperparameters.
Value
Numeric vector of the G estimated mixture weights.
cmollica/PLMIX documentation built on Dec. 31, 2020, 10:04 p.m.
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Description Usage Arguments Value
Description
The function UpWhet updates the mixture weight estimates in the EM algorithm for MAP estimation of a Bayesian mixture of Plackett-Luce models
Usage
1 | UpWhet(z_hat, alpha0)
|
Arguments
z_hat |
Numeric NxG matrix of posterior component membership probabilities. |
alpha0 |
Numeric vector of G Dirichlet hyperparameters. |
Value
Numeric vector of the G estimated mixture weights.
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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