Description Usage Arguments Value Examples
Find initial cliques using mclust on the estimated correlation matrix
1 | init_mclust(Sigma, r, n.noise = NULL)
|
Sigma |
A covariance matrix estimate (p x p). |
r |
Number of missing actors. |
n.noise |
Quantity of noise for mclust, set to 3 x p by default. |
A list of size r, with initial cliques of neighbors for each missing actor.
1 2 3 4 5 6 7 8 9 10 11 | data=generate_missing_data(n=100,p=10,r=1,type="scale-free", plot=FALSE)
EMtree::draw_network(data$G,layout="nicely",curv=0,btw_rank=1,groupes=c(rep(1,10),2),
nodes_size=c(5,5),nodes_label=1:11, pal_nodes= c("#adc9e0","#e7bd42"),
pal_edges = "#31374f")$G
PLNfit<-norm_PLN(data$Y)
Sigma_hat=PLNfit$sigma_O
#-- original true clique
data$TC
#-- clique found by mclust
clique_mclust=init_mclust(Sigma_hat, r=1)
clique_mclust
|
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