boot_FitSparsePCA: Finds initial cliques using a sparse PCA on bootstraps...

In Rmomal/VEMtree: Network inference from Species counTs with missing actORs

Description

Finds initial cliques using a sparse PCA on bootstraps sub-samples

Usage

boot_FitSparsePCA(M, B, r, min.size = 1, cores = 1, unique = TRUE)

Arguments

M	Gaussian proxy for the original dataset. Possibly obtained using PLNmodels.
B	Number of bootstrap samples.
r	Number of missing actors.
min.size	Minimum number of neighbors of missing actors.
cores	Number of cores for parallel computation (uses mclapply, not available for Windows).
unique	Boolean for keeping only unique results.

Value

• cliqueList: list of all cliques found. Each element is itself a list of size r.

• nb_occ: vector of the number of times each cliques has been found by sPCA.

Examples

data=generate_missing_data(n=100,p=10,r=1,type="scale-free", plot=TRUE)
PLNfit=norm_PLN(data$Y)
boot_FitSparsePCA(PLNfit$MO, B=100, r=1)

Rmomal/VEMtree documentation built on Dec. 17, 2020, 5:17 p.m.