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tna (version 0.4.0)

deprune: Restore a Pruned Transition Network Analysis Model

Description

Restore a Pruned Transition Network Analysis Model

Usage

deprune(x, ...)

# S3 method for tna deprune(x, ...)

# S3 method for tna reprune(x, ...)

# S3 method for group_tna deprune(x, ...)

Value

A tna or group_tna object that has not been pruned.

Arguments

x

A tna or group_tna object.

...

Ignored.

See Also

Cluster-related functions bootstrap(), centralities(), cliques(), communities(), 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(), reprune(), summary.group_tna(), summary.group_tna_bootstrap()

Examples

Run this code
model <- tna(group_regulation)
pruned_model <- prune(model, method = "threshold", threshold = 0.1)
depruned_model <- deprune(pruned_model) # restore original model

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