sample_sigmasq {ddtlcm}

Sample item group-specific variances through Gibbs sampler

Description

Sample item group-specific variances through Gibbs sampler

Usage

sample_sigmasq(shape0, rate0, dist_mat, item_membership_list, locations)

Arguments

shape0

a vector of G elements, each being the shape of the Inverse-Gamma prior of group g

rate0

a vector of G elements, each being the rate of the Inverse-Gamma prior of group g

dist_mat

a list, containing the KxK tree-structured matrix of leaf nodes, where K is the number of leaves / latent classes, and SVD components

item_membership_list

a vector of G elements, each indicating the number of items in this group

locations

a KxJ matrix of leaf parameters

Value

a numeric vector of G elements, each being the newly sampled variance of the latent location of this group