augmentation_matrix: Create aggregation matrix and apply different methods

In verasiwei/sbmSC: What the Package Does in One 'Title Case' Line

Description

create_affinity returns an affinity matrix

Usage

augmentation_matrix(N, M, n, seed, rep, method, bucket, reg_par, var)

Arguments

N	Aggregation times
M	The number of total sbm results
n	The number of individuals
seed	A vector of the seed you want to set for each aggregation time
rep	The number of repeats for each aggregation time
method	The method, kmeans, hclust or eigensplit
bucket	The bucket where you save the sbm affinity matrix
reg_par	The parameter value of regularization
var	The percentage explaine the variation

Examples

aug_result <- augmentation_matrix(20,2000,339,c(1:10),10,c("kmeans","hclust","eigensplit"),"jak2",0.1,0.9)

verasiwei/sbmSC documentation built on Feb. 27, 2020, 2:54 a.m.