fitCycleOrders: Compute fit of circular orders to distance with least squares
In MSCquartets: Analyzing Gene Tree Quartets under the Multi-Species Coalescent
fitCycleOrders R Documentation
Compute fit of circular orders to distance with least squares
Description
Compute residual sum of squares (RSS) comparing empirical distance for a blob
to an expected one for a cycle with each given order/designated hybrid. This is used
in NANAUQ+ commands for resolving multifurcations in a tree of blobs to a cycle
Usage
fitCycleOrders(D, E, orders)
Arguments
D
an empirical distance table
E
an expected distance table, to be reordered
orders
a vector indicating an order, or matrix whose rows give orders, to fit
Value
vector of RSSs, one for each order
See Also
resolveCycle, resolveLevel1
MSCquartets documentation built on Oct. 31, 2024, 1:08 a.m.
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| fitCycleOrders | R Documentation |
Compute fit of circular orders to distance with least squares
Description
Compute residual sum of squares (RSS) comparing empirical distance for a blob to an expected one for a cycle with each given order/designated hybrid. This is used in NANAUQ+ commands for resolving multifurcations in a tree of blobs to a cycle
Usage
fitCycleOrders(D, E, orders)
Arguments
D |
an empirical distance table |
E |
an expected distance table, to be reordered |
orders |
a vector indicating an order, or matrix whose rows give orders, to fit |
Value
vector of RSSs, one for each order
See Also
resolveCycle, resolveLevel1
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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