tna (version 0.4.0)

reprune: 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 group_tna
reprune(x, ...)

Value

A tna or group_tna object that has not been pruned. The previous pruning result can be reactivated with reprune().

Arguments

x

A tna or group_tna object.

...

Ignored.

See Also

Cluster-related functions bootstrap(), centralities(), cliques(), communities(), deprune(), estimate_cs(), group_model(), hist.group_tna(), mmm_stats(), plot.group_tna(), plot.group_tna_centralities(), plot.group_tna_cliques(), plot.group_tna_communities(), plot.group_tna_stability(), plot_compare.group_tna(), plot_mosaic.group_tna(), plot_mosaic.tna_data(), print.group_tna(), print.group_tna_bootstrap(), print.group_tna_centralities(), print.group_tna_cliques(), print.group_tna_communities(), print.group_tna_stability(), print.summary.group_tna(), print.summary.group_tna_bootstrap(), prune(), pruning_details(), rename_groups(), summary.group_tna(), summary.group_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