tna (version 1.0.0)

print.tna_bootstrap: Print Bootstrap Results

Description

Print Bootstrap Results

Usage

# S3 method for tna_bootstrap
print(x, digits = getOption("digits"), type = "both", ...)

Value

x (invisibly).

Arguments

x

A tna_bootstrap object.

digits

An integer giving the minimal number of significant digits to print.

type

A character vector giving the type of edges to print. The default option "both" prints both statistically significant and non-significant edges, "sig" prints only significant edges, and "nonsig" prints only the non-significant edges.

...

Ignored.

See Also

Validation functions bootstrap(), deprune(), estimate_cs(), permutation_test(), permutation_test.group_tna(), plot.group_tna_bootstrap(), plot.group_tna_permutation(), plot.group_tna_stability(), plot.tna_bootstrap(), plot.tna_permutation(), plot.tna_stability(), print.group_tna_bootstrap(), print.group_tna_permutation(), print.group_tna_stability(), print.summary.group_tna_bootstrap(), print.summary.tna_bootstrap(), print.tna_permutation(), print.tna_stability(), prune(), pruning_details(), reprune(), summary.group_tna_bootstrap(), summary.tna_bootstrap()

Examples

model <- tna(group_regulation)
# Small number of iterations for CRAN
boot <- bootstrap(model, iter = 10)
print(boot)