quartetCutMLE

Computes Maximum likelihood estimate of quartet tree of blobs topology and CF under the Cut model of
ABMR24;textualMSCquartets, Section 3. In case of ties, the topology and CF estimate are chosen randomly among those maximizing
the likelihood. In particular, a resolved tree of blobs is always returned.

Methods for analyzing and using quartets displayed on a collection
of gene trees, primarily to make inferences about the species tree or network
under the multi-species coalescent model. These include quartet hypothesis tests
for the model, as developed by Mitchell et al. (2019) <doi:10.1214/19-EJS1576>,
simplex plots of quartet concordance factors as presented by Allman et al. (2020)
<doi:10.1101/2020.02.13.948083>, species tree inference methods based on quartet
distances of Rhodes (2019) <doi:10.1109/TCBB.2019.2917204> and Yourdkhani and
Rhodes (2019) <doi:10.1007/s11538-020-00773-4>, the NANUQ algorithm for inference
of level-1 species networks of Allman et al. (2019) <doi:10.1186/s13015-019-0159-2>,
and the TINNIK algorithm for inference of the tree of blobs of an arbitrary
network of Allman et al.(2022) <doi:10.1007/s00285-022-01838-9>. Software
announcement by Rhodes et al. (2020) <doi:10.1093/bioinformatics/btaa868>.

John Rhodes

MSCquartets

Analyzing Gene Tree Quartets under the Multi-Species Coalescent

Elizabeth Allman

Hector Banos

Jonathan Mitchell

quartetCutMLE function

<dl><dt>qcCF</dt>
<dd>a quartet count Concordance Factor (a 3-element vector)</dd></dl>

Arguments

Maximum likelihood estimate of quartet tree of blobs topology and CF under Cut model — quartetCutMLE

<dl>

<dt>qcCF</dt>
<dd>a quartet count Concordance Factor (a 3-element vector)</dd>

</dl>

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quartetCutMLE: Maximum likelihood estimate of quartet tree of blobs topology and CF under Cut model

Description

Usage

Value

Arguments

References

Examples