print.tna_bootstrap: Print Bootstrap Results

In tna: Transition Network Analysis (TNA)

Print Bootstrap Results

Description

Print Bootstrap Results

Usage

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

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.

Value

x (invisibly).

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)

tna documentation built on June 8, 2025, 10:33 a.m.