summary.group_tna_bootstrap: Summarize Bootstrap Results for a Grouped Transition Network
| summary.group_tna_bootstrap | R Documentation |
Summarize Bootstrap Results for a Grouped Transition Network
Description
Summarize Bootstrap Results for a Grouped Transition Network
Usage
## S3 method for class 'group_tna_bootstrap'
summary(object, ...)
Arguments
object |
A |
... |
Ignored. |
Value
A summary.group_tna_bootstrap object containing the weight,
estimated p-value and confidence interval of each edge for each cluster.
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.tna_bootstrap()
Examples
model <- group_tna(engagement_mmm)
# Small number of iterations for CRAN
boot <- bootstrap(model, iter = 10)
summary(boot)
