htna-named wrapper for Nestimate::net_deprune(). Reverses a
prune_htna() step, restoring the original (unpruned) edge set.
Arguments
- x
A pruned htna network (or other object accepted by
Nestimate::net_deprune()); S3 dispatch onxis preserved.- ...
Additional arguments passed to
Nestimate::net_deprune(). See that function for details.
Value
The depruned htna network. See Nestimate::net_deprune().
Details
The actor partition ($node_groups, $actor_levels, htna class)
is preserved, so the restored network stays htna-aware.
Suffixed _htna to avoid clashing with the tna verb deprune() and
to sit alongside the rest of the htna API.
Examples
# \donttest{
data(human_ai)
net <- build_htna(human_ai, actor_type = "actor_type")
#> Warning: A network with one long sequence is not recommended and can't be validated using bootstrap and other confirmatory testings.
#> Metadata aggregated per session: ties resolved by first occurrence in 'session_date' (1 sessions), 'cluster' (42 sessions), 'actor_type' (24 sessions)
pruned <- prune_htna(net, method = "threshold", threshold = 0.05)
deprune_htna(pruned)
#> Transition Network (relative probabilities) [directed]
#> Weights: [0.002, 0.611] | mean: 0.089
#>
#> Weight matrix:
#> Ask Check Delegate Execute Frustrate Inquire Plan Refine Repair
#> Ask 0.018 0.063 0.000 0.022 0.116 0.063 0.409 0.051 0.004
#> Check 0.117 0.050 0.015 0.411 0.058 0.005 0.008 0.042 0.033
#> Delegate 0.000 0.039 0.000 0.011 0.110 0.032 0.611 0.014 0.000
#> Execute 0.061 0.087 0.000 0.074 0.143 0.088 0.107 0.069 0.002
#> Frustrate 0.194 0.104 0.039 0.119 0.114 0.060 0.004 0.098 0.029
#> Inquire 0.251 0.069 0.027 0.285 0.039 0.033 0.009 0.016 0.042
#> Plan 0.000 0.146 0.000 0.015 0.215 0.083 0.003 0.086 0.005
#> Refine 0.143 0.045 0.006 0.206 0.008 0.014 0.013 0.000 0.025
#> Repair 0.241 0.012 0.028 0.391 0.043 0.047 0.016 0.024 0.004
#> Report 0.102 0.114 0.000 0.009 0.124 0.102 0.050 0.058 0.039
#> Request 0.148 0.055 0.018 0.292 0.016 0.010 0.008 0.009 0.007
#> Specify 0.269 0.017 0.040 0.273 0.096 0.011 0.015 0.002 0.013
#> Report Request Specify
#> Ask 0.028 0.173 0.052
#> Check 0.055 0.049 0.156
#> Delegate 0.018 0.131 0.035
#> Execute 0.010 0.293 0.065
#> Frustrate 0.021 0.135 0.085
#> Inquire 0.170 0.028 0.029
#> Plan 0.026 0.325 0.095
#> Refine 0.023 0.105 0.413
#> Repair 0.103 0.071 0.020
#> Report 0.077 0.257 0.066
#> Request 0.034 0.067 0.336
#> Specify 0.037 0.126 0.101
#>
#> Initial probabilities:
#> Specify 0.818 ████████████████████████████████████████
#> Request 0.156 ████████
#> Frustrate 0.023 █
#> Refine 0.002
#> Ask 0.000
#> Check 0.000
#> Delegate 0.000
#> Execute 0.000
#> Inquire 0.000
#> Plan 0.000
#> Repair 0.000
#> Report 0.000
# }