| DrivenSearchOptions | R Documentation |
DrivenSearchOptions is an R6 class that defines the set of parameters
required to perform a driven search in nitro.
replicationsAn integer value indicating the number of replications.
hitsAn integer value indicating the number of times the shortest tree must be found on consecutive re-runs of the analysis before stopping.
consense_timesAn integer value indicating the number of times to consense until the consensus is stablilised.
keep_allA logical value indicating whether to retain all generated trees from each replication regardless of length.
multiplyA logical value indicating whether to find additional trees by fusing suboptimal trees with optimal trees.
sectorial_searchOne or a list of objects of inheriting
"SectorialSearchBaseOptions".
tree_fusingAn object of class "TreeFusingOptions".
tree_hybridizingAn object of class "TreeHybridizingOptions".
tree_driftingAn object of class "TreeDriftingOptions".
ratchetAn object of class "RatchetOptions".
new()DrivenSearchOptions$new( replications = 4, hits = 1, consense_times = 0, keep_all = FALSE, multiply = TRUE, sectorial_search = NULL, tree_fusing = NULL, tree_hybridizing = NULL, tree_drifting = NULL, ratchet = NULL )
replicationsan integer value indicating the number of replications.
hitsAn integer value indicating the number of times the shortest tree must be found on consecutive re-runs of the analysis before stopping.
consense_timesAn integer value indicating the number of times to consense until the consensus is stablilised.
keep_allA logical value indicating whether to retain all generated
trees from each replication regardless of length. This has a different
meaning when hits = 1 and when hits > 1. When
hits = 1, it is trees from each of the RAS + TBR + SS or DFT or
RAT, in addition to the trees resulting from fusing those. When
hits > 1, then it means the trees resulting from fusing the
initial starting trees for each of starting points.
multiplyA logical value indicating whether to find additional trees by fusing suboptimal trees with optimal trees.
sectorial_searchA list of objects of inheriting
"SectorialSearchBaseOptions".
tree_fusingAn object of class "TreeFusingOptions".
tree_hybridizingAn object of class "TreeHybridizingOptions".
tree_driftingAn object of class "TreeDriftingOptions".
ratchetAn object of class "RatchetOptions".
print()DrivenSearchOptions$print(...)
...Ignored.
queue()DrivenSearchOptions$queue(...)
...Ignored.
clone()The objects of this class are cloneable with this method.
DrivenSearchOptions$clone(deep = FALSE)
deepWhether to make a deep clone.
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