CompProbZpartial: Multinomial probability computation for the Multinomial...

In cmollica/PLMIX: Bayesian Analysis of Finite Mixture of Plackett-Luce Models

Description

The function CompProbZpartial computes the multinomial probabilities of the Multinomial full-conditionals of the latent component memberships for the Gibbs sampling of a Bayesian mixture of Plackett-Luce models.

Usage

CompProbZpartial(p, pi_inv, Y, u_bin, n_rank, omega)

Arguments

p	Numeric GxK matrix of component-specific support parameters.
pi_inv	Numeric NxK data matrix of partial orderings.
Y	Numeric NxK matrix of the quantitative latent variables.
u_bin	Binary NxK matrix indicating whether sample unit s ranked item i.
n_rank	Numeric vector of length N with the number of items ranked by each sample unit.
omega	Numeric vector of the G mixture weights.

Value

Numeric NxG matrix of multinomial probabilities.

cmollica/PLMIX documentation built on Dec. 31, 2020, 10:04 p.m.