summary.tna_bootstrap {tna} | R Documentation |
Summarize Bootstrap Results
Description
Summarize Bootstrap Results
Usage
## S3 method for class 'tna_bootstrap'
summary(object, ...)
Arguments
object |
A |
... |
Ignored. |
Value
A summary.tna_bootstrap
object containing the weight,
estimated p-value and confidence interval of each edge.
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_bootstrap()
,
print.tna_permutation()
,
print.tna_stability()
,
prune()
,
pruning_details()
,
reprune()
,
summary.group_tna_bootstrap()
Examples
model <- tna(group_regulation)
# Small number of iterations for CRAN
boot <- bootstrap(model, iter = 50)
summary(boot)
[Package tna version 1.0.0 Index]