SimYpsilon: Gibbs sampling of the quantitative latent variables
In cmollica/PLMIX: Bayesian Analysis of Finite Mixture of Plackett-Luce Models
Description
Usage
Arguments
Value
Description
The function CompRateYpartial simulates from the Exponential full-conditionals of the quantitative latent variables for the Gibbs sampling of a Bayesian mixture of Plackett-Luce models.
Usage
1
SimYpsilon(rate, n_rank)
Arguments
rate
Numeric NxK matrix of rate parameters.
n_rank
Numeric vector of length N with the number of items ranked by each sample unit.
Value
Numeric NxK matrix of posterior samples of the quantitative latent variables.
cmollica/PLMIX documentation built on Dec. 31, 2020, 10:04 p.m.
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Description Usage Arguments Value
Description
The function CompRateYpartial simulates from the Exponential full-conditionals of the quantitative latent variables for the Gibbs sampling of a Bayesian mixture of Plackett-Luce models.
Usage
1 | SimYpsilon(rate, n_rank)
|
Arguments
rate |
Numeric NxK matrix of rate parameters. |
n_rank |
Numeric vector of length N with the number of items ranked by each sample unit. |
Value
Numeric NxK matrix of posterior samples of the quantitative latent variables.
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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