update_w: update_w
In BAREB: A Bayesian Repulsive Biclustering Model for Periodontal Data

Description Usage Arguments Details Value See Also Examples

This function updates the weights for site level clusters

1	update_w(K, R, S, hyper_delta = 1)

`K`	The number of site level cluster for each patient level cluster. Should be a vector of length `S`
`R`	The current site level clustering membership. Should be a matrix with `S` rows.
`S`	The number of patient level clusters.
`hyper_delta`	The hyper-parameter with default value being 1

It returns a matrix with 10 columns. For example, first patient cluster has 2 site level clusters. The first row's first 2 elements give the weights for site level clusters in patient cluster 1. Last 8 elements are NA's

The updated weights for site level clusters. Should be a matrix with S rows.

update_RJ for a complete example for all functions in this package.

#Suppose we know the number of patient level cluster is 2,
#one has 2 site level clusters and one has 3.
#Use the default value, 1, for hyper-parameter
update_w(K=c(2,3),R=matrix(c(1,2,2,1,1,2,3,2),nrow=2,byrow=TRUE), S=2)

#To change the hyper-parameter to, for example 2
update_w(K=c(2,3),R=matrix(c(1,2,2,1,1,2,3,2),nrow=2,byrow=TRUE), S=2, hyper_delta = 2)