reprune {tna} | R Documentation |
Restore Previous Pruning of a Transition Network Analysis Model
Description
Restore Previous Pruning of a Transition Network Analysis Model
Usage
reprune(x, ...)
## S3 method for class 'group_tna'
reprune(x, ...)
Arguments
x |
A |
... |
Ignored. |
Value
A tna
or group_tna
object that has not been pruned. The previous
pruning result can be reactivated with reprune()
.
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()
,
summary.group_tna_bootstrap()
,
summary.tna_bootstrap()
Examples
model <- tna(group_regulation)
pruned_model <- prune(model, method = "threshold", threshold = 0.1)
depruned_model <- deprune(pruned_model) # restore original model
repruned_model <- reprune(depruned_model) # reapply the previous pruning